Workshop Title 1 : Novel False Data Injection Method Targeting on Time-series analysis in Smart Grid
Keywords: False Data Injection, Time-series Generative Adversarial Networks, AC State Estimation, Technology in Smart Grid
Summary: Smart grid is the inevitable trend of power grid technology development. Communication, computer, automation and other technologies are widely and deeply applied in the grid, and are organically integrated with traditional power technology, which greatly improves the intelligence level of the grid. This workshop will discuss the possible technologies which can be applied in the smart grid. It is open, not limited, and provides some seminar directions for the future development of smart grid.

Chair: Assoc. Prof.Sheng Hong, School of Cyber Science and Technology, Beihang University, Beijing
Biography: Sheng Hong is an associate professor and doctoral supervisor of Beihang University, an academic leader of security and safety in Beijing, a technical expert of Beijing Municipal Science and Technology Commission, and an excellent young talent of Beihang University. He is engaged in the teaching and scientific research of network information security, industrial internet security, general quality characteristics technology of complex systems, and has presided over and participated in the National Basic Research Program of China, National Key Research and Development Projects, Basic Technology projects, National Natural Science Foundation of China, etc. He has in-depth cooperation with international experts in this field, published more than 70 papers, including more than 30 SCI indexed papers, authorized 14 national invention patents, and won a first prize of Science and Technology Progress.

Co-Chair: Lecturer Bo Liu, School of Electrical and Information Engineering, Tianjin University
Biography: Bo Liu received the B.S., M.S. and Ph.D. degrees in electrical engineering from Tianjin University, Tianjin,  China, in 2011, 2014, and 2019 respectively. Since 2019, he has been a lecturer with the School of Electrical and Information Engineering, Tianjin University. He is the author of more than 40 articles and more than 20 inventions. His research interests include the non-intrusive power load monitoring and disaggregation, big data analytics and applications, AI in power system, Smart Grid, and ubiquitous power Internet of Things.

Workshop Title 2 : The All-in-one Technology of "Load-storage-transformation-network-detection" Integrated System for Electrical Equipment in Power Systems
Keywords: Electrical equipment, Energy storage, System online detection, Integration technology, New energy sources
Summary: Electrical equipment, especially motors and power transformers, continue to play an irreplaceable role in the new power system. The all-in-one technology of "load-storage-transformation-network-detection" integrated system for electrical equipment in power systems will fill the gap in the research and development of energy storage electrical equipment at home and abroad, and can upgrade the existing equipment for energy storage, achieve the integration and control of the integrated system, promote the progress of the electrical industry and power industry, with a very broad prospect of industrialization and achievement transformation, and help "Carbon Neutral" under the "Dual Carbon" background.

Chair: Assoc. Prof. Jingsong Li, Dalian University of Technology, China
Biography: Jingsong Li, male, born in 1987, received the Ph.D. degree from the Hebei University of Technology, Tianjin, China, in 2017, and became a Postdoctoral Fellow with Tsinghua University, Beijing, China, during 2017-2019, all in electrical engineering. He is currently an associate professor in Dalian University of Technology, Dalian, China. His research interests include Energy Storage Transformer, Submarine Cable Detection, magnetic losses characteristics modeling and measurement analysis and application of magnetic materials in electrical engineering, and analysis of high-frequency electromagnetic vibration and noise characteristics of electrical equipment. He was selected as Outstanding Young Scientific and Technological Talents of Liaoning Province in 2022. Focusing on the major national demand for large-scale energy storage and advanced manufacturing of intelligent equipment in multi-application scenarios and multi-objective planning in the new energy power system, he is committed to the research and development of theories, technologies, software and hardware systems for electrical equipment performance evolution, load matching, energy conservation and consumption reduction, and have presided over or completed more than 10 projects (topics) such as the National Natural Science Foundation of China, China Postdoctoral Science Fund, provincial (ministerial), municipal and enterprise cooperation projects. Over the past five years, the total amount of funding has reached more than ¥13 million. He has published more than 20 relevant academic papers, 8 authorized national patents (including 3 invention patents), 6 invited reports at international (domestic) academic conferences, participated in the formulation of 2 industry standards, and 1 unique technology application has been gradually put into the market.

Co-Chair: Assoc. Prof.Jianfeng Hong, Beijing Jiaotong University, China
Biography: Jianfeng Hong (M’17) received the B.S. and M.S. degree in electrical engineering from Nanchang University, Nanchang, China, in 2012 and 2015. He received the Ph.D. degree in the Department of Electrical Engineering, Tsinghua University, Beijing, China in 2019. During Oct.2019 to Feb. 2022, he was a Postdoc Researcher at Tsinghua University, Beijing, China. He is currently an Associate Professor at Beijing Jiaotong University, Beijing, China. His research interests include motor drives, noise and vibration of electrical machines.

Workshop Title 3 : Towards Green and Resilient Power Systems
Keywords: Low-carbon, resilience, renewable energy, energy storage, optimization methods
Summary: Power system is the key field to achieving the goal of carbon peak and carbon neutrality. The realization of the "dual carbon" goal will be accompanied by a large-scale grid connection of renewable energy with strong uncertainty and volatility, as well as a large number of interactive devices such as electric vehicles and distributed power sources. At that time, the power system will show a high proportion of renewable energy, and a high proportion of electric power electronic characteristics. The power system in the supply and demand balance, system adjustment, stability characteristics, control and protection, and construction costs will be significantly changed. While enjoying the benefits of green and low-carbon energy, how to ensure the safety of power grid operation is one of the key challenges.
On the one hand, under the influence of global warming and climate change in recent years, the safe and stable operation of the power system is seriously affected by extreme weather. Extreme weather not only causes a surge of load in a short time period but also increases the failure rate of equipment such as the power generation side and transmission line due to the sudden deterioration of operating conditions. Natural disasters accompanied by extreme weather may also lead to damage to power plants, transmission lines, electrical equipment, dispatch and communication facilities, and other key facilities. Under extreme weather or severe interference from external forces, the power system can quickly restore the power supply, which is an essential condition for the power system to cope with emergencies. The climate sensitivity of wind, solar, and hydropower generation, as well as global climate change, makes the need for resilience to quickly restore power supply under extreme weather conditions more frequent and urgent.
On the other hand, the power system needs to maintain transient and dynamic stability after all kinds of disturbances, which is the basic condition for the safe and stable operation of the power system after disturbance. Conventional synchronous power generators have the ability of moment of inertia and voltage support, which is the natural "buffer" of the power system to resist the shock of failure. With the increase in the proportion of renewable energy, the moment of inertia of the power system decreases, while the impact of failure becomes larger. The power system will face multiple challenges such as low inertia, frequency voltage stability, wide frequency oscillation, and stability of information physics system and multi-energy coupling system. This workshop will be focusing on the topics related to low-carbon power system dispatch and power system resilience.

Chair: Prof.Tao Ding,Xi’anJiaotong University, China
Biography: Tao Ding, IEEE Senior Member, received the B.S.E.E. and M.S.E.E. degrees from Southeast University, Nanjing, China, in 2009 and 2012, respectively, and the Ph.D. degree from Tsinghua University, Beijing, China, in 2015. During 2013 and 2014, he was a Visiting Scholar with the Department of Electrical Engineering and Computer Science, University of Tennessee, Knoxville, TN, USA. During 2019 and 2020, he was a Visiting Scholar of the Robert W. Galvin Center for Electricity Innovation with the Illinois Institute of Technology. He is currently a Professor with the State Key Laboratory of Electrical Insulation and Power Equipment, School of Electrical Engineering, Xi’an Jiaotong University, Xi’an, China. His current research interests include electricity markets, power system economics and optimization methods, and power system planning and reliability evaluation. He is an Editor for the IEEE Transactions on Power Systems, IEEE Power Engineering Letters, IEEE Systems Journal, IET Generation Transmission & Distribution, and CSEE JPES.
Workshop Title 4 : Energy Harvesting Technologies for Flexible Electronics and Sensors
Keywords: Self-powered, Energy harvesting, Energy materials, Flexible Electronics
Summary: Powering micro - and nano-sized flexible electronic devices and sensors has long been a huge challenge. There is a growing demand in higher energy conversion efficiency but smaller element size due to an increasing trend of functionalities and intelligence of the electronics. The state-of-the-art technologies mainly rely on the electrochemical energy storage devices. Another approach is to develop energy harvesting devices, using various emerging energy materials to explore their feasibility in the energy supply of micro/nano electronic devices, opening a new way to realize the complex functions of electronic devices. Therefore, this workshop will focus on the latest advances in energy harvesting materials/devices to discuss potential possibilities.

Chair: Assoc. Prof.Yu-Tao Li,Beijing University of Chemical Technology, China
Biography: Yu-Tao Li, young reserve talent of Beijing University of Chemical Technology, senior member of Instrument Society and Micron Nanotechnology Society. He graduated from the School of Optics and Electronic Information, Huazhong University of Science and Technology with a bachelor's degree in 2015. In 2020, he graduated from the Department of Microelectronics and Nanoelectronics of Tsinghua University with a Doctor's degree in engineering. He was also fully funded by Tsinghua University to conduct visiting research on perovskite-based optoelectronic devices at Lawrence Berkeley National Laboratory in the United States from November 2018 to May 2019. His research interests include micro/nano optoelectronic devices and smart sensors. As the first author/corresponding author (including co-author), he has published more than 20 papers in Top international journals such as ACS Central Science, ACS Nano and Advanced Functional Materials(10 papers in top journals, a total impact factor over 150). He presided over the National Natural Science Foundation and open projectof the National Research Center.At present, his team is committed to the interdisciplinary research in the field of nanomaterials, micro and nano optoelectronic devices, intelligent sensors, and artificial intelligence.

Co-Chair: Assoc.Prof.Sixing Xu,Hunan University, China
Biography: Sixing Xu is Associate Professor at College of Semiconductors (College of Integrated Circuits) in Hunan University, China. He received his doctoral degree from Tsinghua University in integrated circuits at 2021 (supervised by Prof. Xiaohong Wang), and bachelor’s degree from Tsinghua University in electrical engineering at 2015, respectively. During 2018-2020, he conducted researches in Georgia Tech. as visiting scholar (supervised by Prof. Zhonglin Wang). Sixing Xu’s research interest mainly focuses on the power MEMS devices/circuits towards power supply on chip (PwrSoC), e.g., MEMS micro supercapacitors, MEMS inductors/switches, power management IC for energy harvestings. He has authored more than 30 peer-reviewed papers, including top conferences, e.g. IEDM, IEEE MEMS, Transducers, and top journals, e.g. Advanced Energy Materials, Nano Energy, IEEE Electron Device Letters. In last 5 years, he has been cited for more than 700 times, with h-index of 12. He served as technical committee member in PowerMEMS conference and reviewers for several academic journals. In 2022, he has been awarded the Outstanding Ph.D. Dissertation of Beijing. He has presided over several government-supported projects, including the National Natural Science Foundation of China, Natural Science Foundation of Changsha, Guangdong-Shenzhen Joint Fund, as well as several industry projects.

Workshop Title 5 : Superconducting power applications
Keywords: New power system, superconducting fault current limiter, superconducting cable, superconducting energy storage technology
Summary: With the use of more and more renewable clean energy power generation, the new power system suitable for the high proportion of new energy, high proportion of power electronic equipment access is one of the main directions of the development of power system. Superconducting power equipment has the advantages of low loss, small size and high efficiency, which is a very promising power equipment. For example, under the same volume, the transmission energy of hightemperaturesuperconducting cable is obviously higher than that of ordinary power cable, and can realize the transmission of low voltage and high current. Superconducting fault current limiter has no influence on the system when the system is running normally. When the system has short circuit faults, it can quickly limitthe short circuit fault current, which significantly improves the transient stability and reliability of the power system. However, superconducting power equipment will face many new challenges in the use of new power systems. It is urgent for scholars to study the superconducting power technology and equipment suitable for new power systems to improve the efficiency and reliability of new power systems.

Chair: Assoc. Prof.Bin Xiang,Xi’an Jiaotong University, China
Biography: In 2018, she received her Ph.D. from Xi 'an Jiaotong University. She studied in Kyoto University from 2016 to 2017. She has been working in School of Electrical Engineering of Xi 'an Jiaotong University since October 2018. Over the years, a lot of research work has been carried out in the fields of high temperature superconducting power equipment, superconducting faultcurrent limiting technology, fuse and new DC breaking technology. She has been invited to give 11 presentations at domestic and foreign academic conferences, including 5 presentations at conferences, and won the award of the best host of international conferences once. She has published more than 70 papers and authorized 12 national invention patents. The paper won the best paper award (the only winning paper) in the Fourth International Conference on Power Equipment-Switching Technology in 2017, three papers won the Best Presentation Award in the International Conference on Applied Superconducting and Electromagnetic Equipment in 2018 and 2020. She was selected as a member of the Postdoctoral Innovative Talent Support Program. Her doctoral dissertation was awarded as the Outstanding doctoral Dissertation of Shaanxi Province and the outstanding doctoral dissertation of Xi 'an Jiaotong University. She serves as Youth editorial Board of Superconductivity Journal.

Workshop Title 6 : Power System Operation and Planning
Keywords: Flexible resources, integrated energy system, energy storage, low-carbon power system
Summary: Towards the low-carbon power system to realize carbon peaking and carbon neutrality goals, increasing renewable energy generation will be connected to the power system. The low-carbon power system will witness a lack of flexibility resources for peak regulation, frequency regulation, and so on. Exploiting flexibility resources from heat/gas/storage systems generally believed to be a promising solution to low-carbon power systems, which is the theme of this workshop. Regarding this theme, several issues need to be further explored and studied, including modelling for the flexibility resources from heat/gas/storage systems, optimal management and planning of various flexibility resources in the integrated energy system, energy storage and virtual energy storage, and the trading of flexibility resources.

Chair: Assoc. Prof.Zhong Zhang, Dalian University of Technology, China
Biography: Zhong Zhang, IEEE Member, received the B.S. degree from Noutheast Electric Power University, Jilin, China, in 2011, and the Ph.D. degree from Xi’an Jiaotong University, Xi’an, China, in 2017. During 2017 and 2019, he was a Research Associate working in the Department of Electronic & Electrical Engineering, University of Bath, Bath, UK. He is currently an associate professor in the School of Electrical Engineering, Dalian University of Technology, Dalian, China. His research interests include flexibility analysis of electric & heat system, electricity market, and optimal management of energy storage system. He has published more than 30 SCI/EI indexed papers, authorized 6 national invention patents. He undertakes a lot of reviewing task for Journals of IEEE Transactions on Smart Grid and IEEE Transactions on Sustainable Energy.

Co-Chair: Assoc. Prof. Xiaoyu Cao, Xi’an Jiaotong University, China
Biography: Xiaoyu Cao is an Associate Professor with the Systems Engineering Institute, School of Automation Science and Engineering at Xi’an Jiaotong University, Xi'an, China. He is also the Director of the Smart Integrated Energy Department at XJTU-Sichuan Digital Economy Industry Development Research Institute, Chengdu, China. His research interests include microgrids planning and scheduling, energy system resilience, and stochastic/robust mixed-integer programming with applications in cyber-physical energy systems. In these research areas, he has authored and/or co-authored more than 30 journal and conference publications. Also, he is the principal investigator of nearly 9,000,000 RMB grants and contracts from the National Natural Science Foundation of China (NSFC), the National Key R&D Program of China, the Science and Technology Projects of State Grid Corporation of China (SGCC), etc.

Workshop Title 7 : Solar Building Integration and Double Carbon
Keywords: Photovoltaic power generation;Photoelectric building transformation technology;Peak carbon dioxide emissions and carbon neutrality
Summary: "Double carbon" is closely related to our photovoltaic industry. From all aspects, the photovoltaic industry has great prospects. PV building integration is an effective way to achieve carbon neutrality. PV building integration is not a simple combination of photovoltaic and buildings, but the two should be integrated seamlessly. This seminar will discuss the prospects of the photovoltaic industry under the topic of "dual carbon" and the development of the technology, and provide some seminar directions for the integration of photovoltaic buildings.

Chair: Prof.Hai Tao, Guangxi University, China
Biography: Hai Tao is a professor and master tutor of Guangxi University, he is also the executive vice president of Guangxi Solar Energy Association, Vice President of Guangxi Double Carbon Economy Research Association and members of the first committee of Guangxi Electricity Market Management Committee. Professor Hai Tao has written 16 books, Published more than 100 papers,70 patents were granted and presided over and participated in more than 40 vertical and horizontal projects. He has won the third prize of Guangxi Science and Technology Progress Award twice, and the first prize of Guangxi Teaching Achievement Award twice.

Workshop Title 8 : Modeling and Control of Power Electronic Converters for Microgrid Applications
Keywords: Renewable Energy, Microgrid
Summary: This workshop covers the topics ranging from the fundamental ideas of power electronic converter modeling and control, digital simulation, and experimental studies in the renewable energy systems and AC/DC microgrid. Recent advanced control methods for voltage source inverters (VSIs) and the hierarchical controlled islanded microgrid would be discussed, including the mathematical modeling, controller synthesis, parameter selection and multi-time scale stability analysis, as well as the consensus-based control strategies for the microgrid and microgrid clusters.

Chair: Prof.Yang Han,University of Electronic Science and Technology of China, China
Biography: Yang Han (S’08-M’10-SM’17) received the Ph.D. degree in Electrical Engineering from Shanghai Jiaotong University (SJTU), Shanghai, China, in 2010. In 2010, he joined the University of Electronic Science and Technology of China (UESTC), Chengdu, China, where he has been an Associate Professor in 2013, and Full professor in 2021. From March 2014 to March 2015, he was a Visiting Scholar with the Department of Energy Technology, Aalborg University, Aalborg, Denmark. He is currently with the School of Mechanical and Electrical Engineering, UESTC. His research interests include the ac/dc microgrids, active distribution networks, power quality, grid-connected converters for renewable energy systems, active power filters, multilevel converters, and static synchronous compensators (STATCOMs).
Dr. Han has received several national and provincial projects, and more than 30 industrial projects in the area of power electronics, smart grid, microgrid, and power quality analysis and compensation. He holds more than 40 issued and pending patents. Dr. Han was listed as “World’s Top 2% Scientist 2022” by Stanford University in 2022, and the recipient of the Young Scientist Award in CPESE 2021, the Provincial Science and Technology Award in 2020 and 2022, Science and Technology Award from Sichuan Electric Power Company in 2019, Academic Talent Award by UESTC, in 2017, Baekhyun Award by the Korean Institute of Power Electronics, in 2016. He has published a book “Modeling and Control of Power Electronic Converters for Microgrid Applications”, ISBN: 978-3-030-74512-7, Springer. He served as an Associate Editor of Journal of Power Electronics and IEEE ACCESS (2019-2020).
Workshop Title 9 : New topology, Control, Stability Analysis and Applications of Modular Multilevel Converter-based HVDC Transmission
Keywords: Modular multilevel converter, HVDC, wide-band resonance, topology, stability analysis
Summary: With the development of power electronic technology, modular multilevel converter (MMC) based high voltage direct current transmission (MMC-HVDC) has been widely applied for long-distance and bulk power transmission, large-scale renewable energy integration, and urban power grid upgrading. The wide applications promote the structure development of the MMC-HVDC from a conventional point-to-point system into a multi-terminal system. Nowadays, MMC-HVDC has become a very complex electric system in both control and DC device integration. The controllability of the DC devices, including but not limited to DC power flower and DC-DC transformer, brings more flexibility while challenging the operation of the MMC-HVDC. In practice, MMC-HVDC will inevitably be subject to various disturbances, such as all kinds of faults and potential wide-band resonance, which have been observed in several real MMC-HVDC projects. In these situations, MMC-HVDC should try its best to operate stably under various disturbances and to avoid the shutdown of the entire system. Thus, the ability of MMC-HVDC to maintain stable operation is closely related to the topology and control performance of the converter station and DC controllable devices. In addition, the new type of power converters and dc devices with lower costs and better performance are continuously emerging, which brings new control and stability issues to the MMC-HVDC system. On the other hand, there are different requirements for the control performance and stability of MMC-HVDC in different application scenarios, such as asynchronous grid interconnection, wind power integration, and so on. The hybrid HVDC system with MMC technology also brings more imagination with the successful operation of the Kunliulong Multi-Terminal HVDC Transmission system. The workshop will discuss the new development of topology, stability analysis, control issues, and future application scenarios associated with MMC-HVDC and identify the direction of future research.

Chair: Prof.Quanrui Hao, Shandong University, China
Biography: Prof. Quanrui Hao was born in China in 1984. He received B.E. degree from Tian'jin University in 2006, M.E. degree from Zhejiang University in 2008, and Ph.D. degree from McGill University in 2013, respectively. He joined in Shandong University in 2014 and serves as full professor in Department of Electrical Engineering since 2020. He was selected as Future Young Scholar of Shandong University in 2019. He serves as the standing director of IEEE PES DC protection and control technical committee and IEEE PES DC system planning and design technical committee. He is also the member of Flexible HVDC expert committee of China Electricity Council. His research interests include flexible HVDC transmission, hybrid AC/DC grid, power system stability. He is the principle investigator of two national nature science foundation projects and three sub-projects of natural key research & development program of China. He has published more than forty papers and translated two books. The main circuit design software of multi-terminal UHVDC transmission developed by him has been applied for calculation of the real project in Southern Grid of China.

Co-Chair: Assoc. Prof. Kaiqi Sun, Shandong University, China
Biography: Kaiqi Sun received a B.S. and Ph.D. degree in electrical engineering from Shandong University, Jinan, China, in 2015 and 2020, and was also a visiting scholar with the University of Tennessee, Knoxville from 2017 to 2020. From 2020 to 2021, Dr. Sun was a Research Associate with the Department of Electrical Engineering and Computer Science, University of Tennessee, Knoxville, TN, USA. He is currently an Associate Research Fellow at Shandong University. His research interests include the HVDC and MVDC system operation, renewable energy integration, and machine learning-based power system application. He has been funded by NSFC in the youth program and has authored or co-authored over 80 peer-reviewed technical articles or conference papers. He is the recipient of R&D 100 2021 and the recipient of the Best Paper Award from IEEE IAS I&CPS Asia, ECAI, and the SCEMS 2020.

Workshop Title 10 : Advanced Treatment Technologies of Waste Management for the Production of Renewable Energy
Keywords: Waste, Management, Treatment, Sustainability, Energy
Summary: Every year, households around the world produce millions of tons of solid waste, including agricultural waste, various biomass, animal waste, and municipal solid waste, which are dumped in council and municipal landfill sites. At the same time, millions of energy units from coal, oil, and natural gas are burned every day to produce the electricity we need to run our homes and places of employment. An alternative would be to employ natural waste resources such biomass from plant waste, aquatic biomass, animal waste and other waste streams. Energy recovery from these wastes can reduce the harmful consequences of energy and material supplies based on non-renewable resources. And, a variety of high-value products, including liquid and gaseous fuels, fine and bulk chemicals, can be produced from biomass. In this context, biological, biochemical, and thermal processes have been recognized as an appropriate and sustainable strategy for producing value-added products from organic waste streams. Today, a new generation of Waste to Energy conversion technologies are emerging, which hold the potential to create clean, renewable energy from solid and liquid waste materials. Waste to Energy will contribute to the development of a low-carbon society. The energy content available from the combustion of solid waste to gasification and oil, anaerobic digestion of biomass to bio-methanization represents a significant “alternative energy” supply to help reduce the use and our dependency on conventional fossil fuels. An alternative method of managing food and agricultural waste includes "Waste to Wealth," which involves aerobically converting organic waste into compost for use as a soil conditioner. The more common ways in which waste is converted in wealth-such as combustion (incineration), pyrolysis, gasification, or biological treatments such as composting, anaerobic digestion and fermentation, etc., and various combinations of the above. As a result, careful consideration must be given to the characterization of the raw materials, the impact of thermal pretreatment, biological pretreatment, mechanical pretreatment, and the subsequent biochemical processing to create value-added products from a variety of organic materials.

Chair: Assis. Prof. Dr. Izharul Haq, Jaipur National University, Jaipur, India
Biography: Dr Izharul Haq is currently working as Assistant Professor in the School of Life Sciences, Jaipur National University, Jaipur, India. He has worked as a Post-Doctoral Fellow in the Department of Civil Engineering, Indian Institute of Technology Guwahati, India. He obtained his PhD in Microbiology from CSIR-Indian Institute of Toxicology Research, Lucknow, India. He is working on the theme of liquid and solid waste management through microorganisms and their toxicity evaluation. Dr Haq has four years of teaching and research experience from reputed Institutes. Dr Haq has working experience in different projects granted by DST, DBT, CSIR and MHRD, Gov of India. He has been honored with the prestigious award "Young Scientist Award 2018" to recognize his scientific research. Dr Haq has published many research and review papers in reputed National and International journals with high impact factors. He has published many book chapters in splendid International books and has also published four books with reputed International publishers. Dr Haq has presented his research work at various National and International conferences. He has been appointed as Editor in three reputed International journals. He also serves as a reviewer in many International journals published by reputed publishers. He is the member of various National and International Societies.

Co-Chair: Assist Prof. Darshit S Upadhyay, Institute of Technology, Nirma University, India
Dr Darshit S Upadhyay is working as Assistant Professor in Mechanical Engineering Department since 2012. He has completed MTech in Thermal Engineering and PhD from Nirma University in 2012 and 2020, respectively. He has more than 10 SCI-indexed journal publications and presented more than 20 papers in international conferences. He has received different project grants as PI/Co-PI from the Department of Science and Technology (DST), Gujarat Council on Science and Technology (GUJCOST), and Nirma University in the area of Renewable Energy. Dr Upadhyay has guided 15 postgraduate dissertations. He has received an “Early Career Academic Grant” from the Association of Commonwealth University, United Kingdom in 2016. He has also received the Indian Society for Technical Education (ISTE) -Gujarat State Fertilizer & Chemicals (GSFC) National Award for guiding the best M.Tech thesis in Mechanical Engineering for the year 2018. He was conferred with the Best Research Scientist for overall Contribution in all Activities of Research in 2020 by Nirma University. He is also awarded "ISTE GUJARAT- M. C. Bhavsar Award" for Innovative Work in the areas of Renewable Energy in 2022. Dr Upadhyay is the reviewer of the international refereed journals in the fields of renewable energy, energy management, fuel, etc. His research interests include Biomass Gasification, Energy Conversion, and Renewable Energy.

Workshop Title 11 : Agrivoltaic system towards Sustainable Development Goals 2 and 7
Keywords: Solar PV system; Farming; Agrivoltaic system
Summary: Energy and food security are alarmed by the influences of climate change, population, and world economic growth. In this perspective, the co-located agrivoltaic system, a nexus of photovoltaic and agriculture production, is more suitable to achieve Sustainable Development Goals worldwide. The land is used only for food production to attain the 2nd Sustainable Development Goal (SDG) “Zero Hanger” and only for solar energy conversion to meet the targets set by the 7th SDG “Affordable and Clean Energy”. It allows the same land for dual use through innovative supporting structures. Implementing AVS brings benefits regarding increased land use efficiency but more broadly across the energy-food-land (EFL) nexus.

Chair: Assist. Prof.Nimay Chandra Giri, Dept. of ECE & CREE, CUTM, Odisha, INDIA.
Biography: He has 11.8 years of teaching, training, and skill experience. He is pursuing a Ph.D. in Agrivoltaic system (AVS). His research and skill areas include solar photovoltaic (SPV) applications, energy conversion, livelihood projects, protected cultivation, and Agrivoltaic system (AVS) for socio-economic viability to enhance livelihoods. He has qualified as a Master trainer in solar PV installer (Suryamitra) under Skill Council for Green Jobs (SCGJ), NSDC, India. He is also certified as an All India level Assessor in the Electrical, Electronics, and Solar Energy sectors under the Ministry of Skill Development & Entrepreneurship (MoSDE), India. Internationally, he has been selected for solar PV system design and development work by TechTree, Singapore in 2021 and as a reviewer/technical program committee of the CECIT 2022, China. He has 35+ numbers of Journal publications in SCIE, SCOPUS, ESCI, and UGC indexing journals including international conferences, published 2 books & 5 book chapters, 3 patents, and 3 international awards. He has guided 50 + projects to both UG and PG students and has developed products such as portable lights, street lights, solar water pumping systems, solar sugarcane juicer, and agrivoltaic systems. He has conducted 6 numbers of FDP/Webinar in the field of solar PV systems.

Workshop Title 12 : Hybrid Microgrids: Modeling, Operation, and Optimization
Keywords: Microgrids; Optimization; Hybrid Systems; Modeling; Design and Sizing
Summary: With the global demand increase of electricity, the need to use hybrid microgrid systems is also increased to handle the energy needed. Meanwhile, extensive research efforts have been developed to meet this demand with a highly reliable and flexible. The microgrids, which are decentralized systems, are based on the combination of several resources of energy renewable, or either fossil into a smart system based on power management and economic optimization with an aim to realize the global targets of energy feeding with low CO2 pollution, minimum cost, and power production security.

Chair: Assoc. Prof. Salah Kamel, Aswan University, Egypt
Biography: Salah Kamel received the joint Ph.D. degree from the University of Jaén, Spain, and Aalborg University, Denmark, in January 2014. He is an Associate Professor with the Electrical Engineering Department, Aswan University. He is also a Leader of the Power Systems Research Group, Advanced Power Systems Research Laboratory (APSR Lab), Aswan, Egypt. His research interests include power systems analysis and optimization, smart grid, and renewable energy systems.

Co-Chair: Dr.Mohammed Kharrich,Chungnam National University, Republic of Korea
Biography: Dr.Mohammed Kharrich was born in Fez, Morocco, where he received the B.S. degree in mechanical engineering from Sidi Mohamed Ben Abdellah University in 2011. in 2014, he received his M.S. degree in mechatronics engineering from Abdelmalek Essaâdi University, Tetouan. He completed his Ph.D. in electrical engineering with an honorary degree at Mohammadia School of Engineering, Mohammed V University, Rabat, Morocco. Currently, he is pursuing his research as a Post Doctorate at Chungnam National University, Daejeon, South Korea. He has published many articles in international journals and conferences. His research interests include microgrid systems, modeling, simulation, optimization of renewable and conventional power systems, and metaheuristic algorithms by development or application of stochastic algorithms. He is also a guest editor and reviewer of many highly indexed journals.

Workshop Title 13 : Energy Management in Microgrid
Keywords: Energy/Power Management, Solar Photovoltaics, Wind Energy, Energy Storage System, Batteries, Electrical Loads
Summary: Due to intermittent nature of renewable sources like solar energy and wind energy and also variable loads, the catering of loads with such sources is a very challenging task. Such issue can be addressed by either with the extension of utility grid, vehicle-2-grid and effective storage mechanism. It can be made more effective, efficient and reliable with different techniques and with the help of machine learning.

Chair: Prof. Shabbir S. Bohra, Sarvajanik University, Surat-India
1st March, 2019 – 30th May, 2019 - Guest researcher at Energy Technology Department, Aalborg University, Aalborg, Denmark
1996 Diploma in Electrical Engineering, Dr. S. & S. S. Ghandhi College of Engineering, Surat
1999 B. E., Electrical Engineering, SVRCET (now SVNIT), Surat
2007 M.Tech., Energy Systems, IIT, Bombay
2015Ph.D. in Modeling of Advanced Silicon Solar Cells, Entitled “Theoretical Modeling and Analysis of Silicon Based Multi-Junction and Quantum Dot Thin Film Solar Cells Developed on MATLAB® Platform” from SVNIT, Surat
Academic Appointments
August, 2000- November, 2001 Ad-hoc lecturer, SCET, Surat
December, 2001- December, 2005 Lecturer, Electrical Engg. Dept., SCET, Surat
January, 2006 - September, 2013 Assistant Professor, Electrical Engg. Dept., SCET, Surat
October, 2013- July, 2016 Associate Professor, Electrical Engg. Dept., SCET, Surat
August, 2016 – Till date Professor, Electrical Engg. Dept., SCET, Surat
11th January, 2017 – 7th May, 2018 Head, Electrical Engg. Dept, SCET, Surat
25th July, 2018 – 28th Feb, 2019 Head, Electrical Engg. Dept, SCET,Surat 
3rd June,2021 – Present Heading Electrical Engineering Department

Co-Chair 1: Assoc. Prof. Mohamed ALI MOUSSA, Electrical engineering Department, University ofHassiba Ben Bouali,Chlef, Algeria
Biography: Doctor Mohamed ALI MOUSSA was born in Chlef, Algeria, in 1973. He is associate Professor at the Electrical Engineering Institute at University of chlef, he received. his Engineer’s Degree in Electrical Engineering in 1997 from the University of Laghouat, (Algeria), He defended his Magister degree in electrical engineering in 2013 at the University of Khemis-Mliana (Algeria) His areas of scientific interest is Energy Saving and Renewable Energy in the electrical network

Co-Chair 2: Assoc. Prof. Hamza SAHRAOUI, Electrical engineering Department, University of Hassiba Ben Bouali, Chlef, Algeria
Biography: Sahraoui Hamza  was born in Batna,Algeria , in 1987.He received B.S ,M.S degree in electrical engineering from Batna university. respectively in 2006, 2011,Curently, he is associate  Professor at the Electrical Engineering Institute at University of chlef, Algeria. He is the head of the Energy Saving and Renewable Energy team in the Research Laboratory of Electromagnetic Induction and Propulsion Systems of Batna 2 University.

Workshop Title 14 : Towards blockchain, digital twin and metaverse technologies enabled smart grid ecosystem
Keywords: Blockchain, Smart Contract, Security, Privacy-Preserving, Digital Twin, Metaverse
Summary: The smart grid concept is introduced as a new paradigm shift toward integration and coordination of a large number of distributed energy resources (DERs), microgrids, electric vehicles (EVs), vehicle-to-grid (V2G), prosumers (producers&consumers), and energy markets along with traditional power grid network in order to build a sustainable society, at the same time, considering decarbonization of economy to address the climate change challenges. Consequently, while smart grid communications and computing technologies are undergoing a transformation to the digitalization and decentralized topology, figuring out efficient, reliable, and secure energy resources (e.g., EVs, loads, generations, storage) and transactions (e.g., buy, sell, consumption, generation, demands) management to empower the end users is a necessarily a challenging issue. In this context, blockchain, a decentralized ledger technology, has been emerged and showed its great potentiality in diverse application fields of smart grid ecosystem in recent years. Incorporation of blockchain along with advanced communications, control, and computing technologies might support to build trust and tract the resources and transactions, which can considerably address the research challenges of energy resources and transactions management. Nevertheless, the aim of this workshop is to bring researchers and engineers together interested in the latest advancements in this research domain.

Chair: Assist. Prof. Youshui Lu, Xi’an Jiaotong University, China
Biography: Youshui Lu, received the B.S. degree from The Australian National University, Australia, in 2013,and the M.S degree from University of Sydney, Australia, in 2015,and the Ph.D. degree from the School of Computer Science and Technology, Xi’an Jiaotong University, China. During 2021, he was a Visiting Scholar with the Computer Science & Engineering Department of the University of Minnesota--Twin Cities. He is currently an Assistant Professor with the State Key Laboratory of Electrical Insulation and Power Equipment, School of Electrical Engineering, Xi’an Jiaotong University, Xi’an, China. His research interests include blockchain technology, distributed systems and smart grid.

Workshop Title 15 : Multi-energy complementation and carbon emission reduction technology under carbon neutral goal
Keywords: New energy; Energy storage; Carbon emission reduction; Integrated energy system
Summary: With the proposed strategic goals of "carbon peak" and "carbon neutrality", clean and low-carbon energy has become the direction of a new round of energy reform and development. The comprehensive energy system and carbon emission reduction technology break the traditional mode of production, transmission and consumption of a single form of energy, realizes the interaction between a variety of energy sources, and then provides end-users with electricity, heat, cold and other different grades of energy, which is an important way to clean energy supply and low-carbon transformation. Therefore, this workshop will focus on multi-energy complementary systems and carbon emission reduction technology for the "carbon neutrality" goal.

Chair:Prof.Hao Lu,Xinjiang University, China
Biography: Dr. Hao Lu, the director and chair professor of New Energy Research Center of Xinjiang University, the director of "Energy Carbon Neutrality" Innovate Team for "Double First-class Construction Program" of Xinjiang University, the recipient of the National Overseas High-level Talents of China and Xinjiang Outstanding Youth Science Fund. In recent years, Prof. Lu focused on the strategic goal of carbon peak and carbon neutrality as well as the key technologies and realization paths of energy transition. He has hosted or participated in more than 30 research projects, including the National Key R&D Program, the National Natural Science Foundation of China, Innovate UK Project, Rolls-Royce Research fund of UK, Hong Kong RGC/GRF Project, Hong Kong ITF Project. He has published more than 120 papers in academic journals and conferences, including more than 60 international SCI papers and 20 EI papers, more than 10 national invention patents, and 2 academic monographs.

Workshop Title 16 : Smart Grids and Renewables: market connections and interactions
Keywords: Patents, smart grids, climate change, renewables
Summary: Most national grids have legacy components that often make it difficult for cutting-edge technologies in renewables to connect to them. Further, renewables tend to be located in more remote areas that are often removed from where the grids are smartest. Given this challenge of bridging old and new, opportunity abounds for those figuring out how connections are made and interactions take place when solving both issues, separately and simultaneously. As with all things in economics, the benefits must outweigh costs. Stock price reactions to patents provide forward-oriented insight.

Chair: Assis.Prof.Greg Tindall,Palm Beach Atlantic University, USA
Biography: Greg Tindall is an assistant professor of finance in the Rinker School of Business at Palm Beach Atlantic University in West Palm Beach, Florida. His research interests revolve around corporate finance, with a focus on owner-agent conflicts. His dissertation concerned corporate policies affected by shareholder proposals which discuss climate change at the annual meetings of public companies. Greg has presented his research at several internationally recognized conferences, including: the American Finance Association Doctoral Poster, Southern Finance Association, University of Florida’s Workshop in Applied and Theoretical Economics, Paris Financial Management, European Financial Management Association, Australasian Finance and Banking, New Zealand Finance Meeting, Monash University’s Financial Markets and Corporate Governance, International Symposium on Environment and Energy Finance Issues, Shanghai-Edinburgh-London Green Finance Conference, the UN Sustainable Development Goals, and the Sustainable Financial Innovation Centre Annual Conference.

Workshop Title 17 : Role of smart electric grid and renewable energy to attain carbon neutral environment
Keywords: smart electric grid, renewable energy,carbon neutral
Summary: Countries are now facing the problem of carbon emissions due to the high loss of electricity. To bridge this gap, this workshop will discuss alternative energy resources to fulfill the shortfall of electricity crises. Furthermore, this conference will discuss different ways to achieve carbon neutral environment regarding clean energy application.

Chair: Assoc. Prof. Jafar Hussain,Nanchang Institute of Technology, China.
Biography: Dr. Jafar Hussain, is working as an associate professor at Nanchang Institute of Technology, China. Dr. Hussain got his PhD degree in theoretical economics from Shenzhen University in 2021. The research direction of Dr. Hussain is carbon neutrality which is the main solution of carbon emissions.Dr. Hussain published several Q1 ranking papers belongs to standard SCIE, SCI and SSCI such as Sustainable Development, Technological Forecasting & Social Changes and Renewable Energy.As an editorial board he joined two Q1 SCIE and SSCI journal and acting as a guest editor in Renewable & Sustainable Energy Reviews and Journal fo Environmental Planning management. During his career, Dr. Hussain got sevreal invitations as Keynote speakers and chairperson in various conferences and research meetings around the world such as America, Italy, Thailand, Dubai, China and United Kingdom. He is nominated as Global Energy Policy measures member in 2022. He is also Honorary Rosalind member of UK journal press. He got best reviewer award from OMEGA journal in 2022. His work is attracted by scholars from world top universities such as Harvard University.

Workshop Title 18 : Energy complex in Industry 4.0: renewable energy, socio-technical approach and digitalization
Keywords: energy system,renewable energy, stakeholder collaboration, smart solutions
Summary:The energy complex is a system that ensures the production and storage, transmission and distribution, as well as supply and use of energy resources. Each of these functions is supported by appropriate equipment and technologies, which are interrelated and must develop in a coordinated manner. For effective realization of these functions, corresponding business processes, which provide economical mechanisms and organizational frameworks, are necessary. End users and other stakeholders’ behavior has a significant impact on the efficiency of these functions. Digitalization and the Industry 4.0 principles create new opportunities for increasing efficiency of these functions. All the above formulate systems’ topics for the workshop: smart grids as a kind of power cyber-physical systems, socio-technical approach in the energy complex development, principles of homogeneous production environments in power engineering, information systems and modelling in energy etc. Together with the development of theoretical issues of creating efficient energy systems, the workshop will also be devoted to the case study of the implementation of innovations in the field of energy and to the project oriented education for energy sector.

Chair: Assoc. Prof.Yury Nurulin,Peter the Great Saint-Petersburg Polytechic University, Russia
Biography: Prof. Yury R. Nurulin is currently working as Professor in the Higher School of Cyber-physical Systems and Control of the Institute of Computer Science and Technologies and as Professor (part time) in the Higher School of Industrial Management of the Institute of Industrial Management and Trade of Peter the Great Saint-Petersburg Polytechnic University (SPbPU), Saint-Petersburg, Russia. He is also the director of the International Projects Office of the Institute of Industrial Management, Economic and Trade. He received the doctor’s degree in 1999 in the field of automation of science-intensive innovative project management. His research interests include the nature of cyber-physical and socio-technical systems, trends of the energy sector development within the Industry 4.0 paradigm, innovation systems development and stakeholder theory. He as coauthor of 8 books, 4 patents and more than 80 research articles. Over the past 10 years, he has been the leader and supervisor of 12 international projects that were carried out at SPbPU within the framework of European programs INTERREG and CBC ENI. These projects were devoted to different aspects of energy efficiency, green energy production and use, support of emerging innovation business, university-industry cooperation and development of information systems for business applications.

Workshop Title 19 : Interactive Optimization Control Technology of New Types of Active Distribution Network
Keywords: Renewable Energy, Active Distribution Network,Building integrated PV, Near-zero energy consumption, Virtual Power Plant, Digitalization
Summary: To realize the carbon-neutral goal, China commits to building a new type of power system with renewable energy generation as the main part of its supply side and leading deep penetration distributed PV in its demand side, which aims to achieve the friendliness interaction of the source-grid-load-storage and the organic integration of various energies. However, the rapid growth of centralized and distributed renewable generations and energy storage devices will significantly change the load patterns, operation modes and operating characteristics of the new type of distribution network. The emerging and co-existing of diverse forms of the network including wide-area network, active distribution network, and micro-grids brings great challenges to the control and operation of new type power systems and may threaten their security and stability. The synergy optimization and dispatch control of “Source-Grid-Load-Storage” and realization of multi energy complementary are effective ways to help achieve the optimized regulation of the whole power system at different levels.

Chair: Prof. Tianguang Lu,  Shandong University, China
TIANGUANG LU (Member, IEEE) is a Full Professor with Shandong University and an Associate with Harvard University. He received the in electrical engineering from Shandong University, Shandong, China, in 2013, M.S. degreein Computer Sciencefrom Georgia Institute of Technology, GA, USA, and thePh.D. degree in electrical engineering from ShanghaiJiaoTong University, Shanghai, China, in 2018.He was a Postdoctoral Researcher withHarvard University, Cambridge, MA, USA. His research interests include optimization and data analytics in power systems and renewable integration. He has published over 40 papers on different journals,including Nature Communications (Frist Author). Dr. Lu was a recipient of the Harvard University Certificate of Distinction in Teaching in 2019, the IEEE Industrial Application Society PrizePaper Award, in 2016and 2018, and the Excellent Dissertation Paper Award from ShanghaiJiao Tong University in 2018.He is an Associate Editor of theIET Renewable Power Generation and CSEE Journal of Power and Energy Systems and a Review Editor of Frontiers in Sustainable Cites.

Workshop Title 20: Reducing Fossil Fuel Consumption by Incorporating Renewable Energy Sources
Keywords: Renewable Energy, Solar Energy, Innovative, Wastewater treatment
Summary: Renewable energy refers to energy sources that are replenished naturally and can be used indefinitely. These include solar, wind, geothermal, hydro, and biopower. Industrial applications for renewable energy include using solar panels to power factories, using wind turbines to generate electricity for manufacturing facilities, and using biopower (such as biofuels) to fuel industrial vehicles and equipment. Additionally, many industries are starting to use renewable energy to offset their fossil fuel use and reduce their carbon footprint. Additional industrial applications of renewable energy include Solar thermal: Using solar energy to generate heat for industrial processes, such as drying, cooking, and sterilization.
Hydroelectric: Generating electricity from the movement of water, often used in the production of aluminum, paper, and textiles.
Geothermal: Using heat from the Earth to generate electricity, and also used in heating and cooling buildings.
Biomass: Using organic matter, such as wood, crops, and waste, to generate electricity and heat.
Tidal and wave energy: Generating electricity from the movement of ocean waves and tides, mainly used in coastal areas.
Biofuels: Using organic matter to create liquid fuels that can power industrial vehicles and equipment. Fuel cells: Using chemical reactions to generate electricity, mainly used in data centers, telecommunications, and manufacturing facilities. Overall, renewable energy can be integrated into many different industrial processes and can help reduce dependence on fossil fuels and decrease greenhouse gas emissions.

Dr. Hen Friman, H.I.T - Holon Institute Of Technology, Holon, Israel
Biography: Hen Friman holds Ph.D. and Master's degrees from Bar-Ilan University. His master's thesis investigated the effect of Cyt1Aa on prokaryotes, and his Ph.D. research focused on energy production from aromatic chemical degradation of bacteria Using "Bio-Fuel Cells".
Since 2012, Dr. Friman is a researcher and lecturer at the Faculty of Engineering and Head of the Renewable Energy & Smart Grid Excellence Center at “HIT” Holon Institute of Technology. 
Dr. Friman developed an innovative teaching method for a "paperless" laboratory in the field of solar, wind, and water energy. He also managed the "Energy Supervisor" training program at HIT.
He was part of the team responsible for developing "Pre-Project and Developing Soft Skills for Engineers" for the undergrad B.Sc. students. The purpose of the course is to define and improve the "toolbox courses" that will provide students with employability skills - Teamwork, effective management of time, risk and quality control, design excellence, and presentation excellence
Dr. Friman's involved in the fields of renewable energy, fuel cells, microbial fuel cells, water and wastewater treatment, bioremediation and biodegradation, chemical engineering, ecological and sustainability education, and academic collaboration

Workshop Title 21 : Joint Location-Allocation of Industrial Facility and Prosumer Microgrid: A Transactive Energy Paradigm
Keywords: Stochastic optimization, microgrid sizing and siting, transactive energy, supply chain management
Summary: Manufacturing supply chain operations consume more than one-third of the global energy. Traditional supply chain design models usually focus on the uncertainties in materials, capacity, yield, and demand. However, the challenges of variable generation have not been adequately addressed. This workshop aims to discuss the recent advances in modeling and design of eco-friendly manufacturing supply chains in the nexus of microgrids, electric vehicles, and transactive energy. We present the state-of-the-art from three aspects. First, we propose an integrated facility and microgrid location-allocation model by synthesizing product and transactive energy markets. The model strategically locates the site for establishing factories, warehouses, and microgrids subject to product demand and renewables uncertainty. The model further allocates production, inventory, vehicle routing, energy storage, and electricity trading to lower the annualized cost. Second, the proposed model is demonstrated on a three-tier supply chain network comprised of California, Arizona and Nevada with diverse climate conditions. Numerical experiments show that transactive energy, time-of-use tariff, and climate conditions play a critical role in locating industrial facilities. Locations with stronger onsite wind and solar generation become competitive to establish energy-intensive facilities despite of higher fixed and logistics cost. Third, we discuss the directions of the future research at the interface between prosumer microgrid and sustainable manufacturing, such as expanding spatial and temporal dimensions. In addition, blockchain and smart contract can be introduced to the transactive energy market to facilitate real-time peer-to-peer direct trading.

Chair: Prof. Tongdan Jin, Ingram School of Engineering, Texas State University, USA
Biography: Dr. Tongdan Jin is a professor of systems engineering at Texas State University. Prior to academia, he had 5-year reliability management experience in Teradyne Inc., Boston. His research resides at the interface of renewable energy, reliability optimization, transportation electrification, and supply chain sustainability. His research reflects the collaboration with more than 30 universities and companies around the world with over 100 collaborators. Dr. Jin’s projects have been supported, primarily, by the U.S. National Science Foundation (NSF), the U.S. Department of Energy, and the U.S. Department of Education, with funds exceeding $3.3 million, among which he has secured $1.5 million as principal investigator. 
Dr. Jin’s works are published in IEEE Transactions on Reliability, IEEE Transactions on Smart Grid, European Journal of Operational Research, and IISE Transactions. He is the author of the new book “Reliability Engineering and Services” published by Wiley in 2019. He garnered several best paper awards, including the Evans-McElroy best paper in the 2014 Annual Reliability and Maintainability Symposium. He has served as the panelist of the NSF CAREER awards since 2018. Currently he serves in the steering committee of IEEE Intelligent Systems to Human-Aware Sustainability.

Workshop Title 22 : Integration of P2G technologies with renewable energy
Keywords: Power to gas; Energy conversion and storage; Integrated Electricity-Gas System; Optimization; Modelling
Summary: It is a significant challenge to develop advanced energy conversion and storage technology for a future sustainable society. Renewable energy development has been unbalanced and rapid, which may lead to a waste of renewable resources due to disturbing regional environmental impacts and the surrounding facilities of some large-scale new energy power plants. Converting electricity into another form of energy for consumption presents a promising solution to these problems. Power to gas (P2G) technology produces hydrogen by hydrolysis of water using renewable energy power, which can supply power during peak power demand of the grid, and store surplus energy when renewable energy power generation is more than power demand. The P2G technology creates hydrogen by hydrolyzing water using renewable energy power, enabling it to supply power during peak grid power demand and store surplus power when renewable energy generation exceeds grid demand. The P2G technology could connect the natural gas network and the electric network, giving the power grid much greater flexibility and making it easier to utilize renewable energy, such as photovoltaics.

Chair: Assoc. Prof. Jun Zhou, School of Electrical engineering, Xi’an Jiaotong University, Xi’an
Biography: Jun Zhou is an Associate Professor at School of electrical engineering, Xi’an Jiaotong University. In 2014, he received her Ph.D. from Xi 'an Jiaotong University. He studied at University of St-Andrews from 2011 to 2013. During 2019-2020, he was a visiting scholar at the college of engineering, Cornell University. His research interests includeenergy conversion and storage technology, energy system modeling, hydrogen, fuel cells. He has published more than 60 SCI/EI indexed papers, authorized 6 national invention patents. His doctoral dissertation was awarded as the Outstanding doctoral Dissertation of Xi 'an Jiaotong University. He serves as the director of IEEE PES- Hydrogen energy storage subcommittee.

Workshop Title 23 : Artificial Intelligent Computation in Electric Load Forecasting
Keywords: Electric load forecasting; meta-heuristic algorithms; AI-based forecasting modeling; LSTM; CNN; Deep learning; decomposition/transformation method.
Summary: Accurate energy forecasting is important to facilitate the decision-making process in order to achieve higher efficiency and reliability in power system operation and security, economic energy use, contingency scheduling, the planning and maintenance of energy supply systems, and so on. In the past decades, many energy forecasting models have been continuously proposed to improve the forecasting accuracy, including traditional statistical models (e.g., ARIMA, SARIMA, ARMAX, multi-variate regression, exponential smoothing models, Kalman filtering, Bayesian estimation models, etc.) and artificial intelligence models (e.g., artificial neural networks (ANNs), knowledge-based expert systems, evolutionary computation models, support vector regression, etc.). 
Recently, due to the great development of optimization modelling methods (e.g., quadratic programming method, differential empirical mode method, evolutionary algorithms, meta-heuristic algorithms, etc.) and intelligent computing mechanisms (e.g., quantum computing, chaotic mapping, cloud mapping, seasonal mechanism, etc.), many novel hybrid models or models combined with the above-mentioned intelligent-optimization-based models have also been proposed to achieve satisfactory forecasting accuracy levels. It is worthwhile to explore the tendency and development of intelligent-optimization-based modelling methodologies and to enrich their practical performances, particularly for marine renewable energy forecasting.
All submissions should be based on the rigorous motivation of the mentioned approaches, and all the developed models should also have a corresponding theoretically sound framework. Works lacking such a scientific approach are discouraged. Validation support of existing/presented approaches is encouraged to be done using real practical applications. Potential topics include but are not limited to the following:
Østatistical forecasting models (ARIMA, SARIMA, ARMAX, multi-variate regression, Kalman filter, exponential smoothing, etc.)
Øartificial neural network (ANNs) models
Øknowledge-based expert system models
Øfuzzy theory and fuzzy inference system models
Øevolutionary computation models
Øsupport vector regression (SVR) models
Øhybrid models
Øcombined models
Øevolutionary algorithms
Ømeta-heuristic algorithms
Øseasonal mechanisms (single seasonal mechanism multiple seasonal mechanism)
Øintelligent computing mechanisms (chaotic mapping mechanism quantum computing mechanism cloud mapping mechanism)
Ømarine renewable energy forecasting
Øelectric load forecasting
Øenergy forecasting.
energy forecasting

Chair: Prof. Wei-Chiang Hong, Asia Eastern University of Science and Technology, Taiwan(China)
Biography: WEI-CHIANG HONG is a Professor in the Department of Information Management, Asia Eastern University of Science and Technology, Taiwan. His research interests mainly include computational intelligence (neural networks and evolutionary computation), and application of forecasting technology (ARIMA, support vector regression, and chaos theory) and machine learning algorithms. Professor Hong serves as the program committee of various international conferences including premium ones such as IEEE CEC, IEEE CIS, IEEE ICNSC, IEEE SMC, IEEE CASE, and IEEE SMCia, etc. In May 2012, his paper had been evaluated as Top Cited Article 2007-2011 by Elsevier Publisher (Netherlands). In Sep. 2012, once again, his paper had been indexed in ISI Essential Science Indicator database as Highly Cited Papers, in the meanwhile, he also had been awarded as the Model Teacher Award by Taiwan Private Education Association. Professor Hong is a senior member of IIE and IEEE. He is listed in the World’s Top 2% Scientists 2022 (ranked 31,638th for career-long impact, and 892nd in Artificial Intelligence & Image Processing fields), Stanford University, 11 Oct. 2022. Professor Hong serves as an editorial board member of Applied Soft Computing, He has Google scholar citations 9,774, H-index 53 and i-10 Index 94 in his account.

Chair: Assoc. Prof. Yi Liang, Hebei GEO University, China
Biography: Dr. Yi Liang is an Associate Professor in the School of Management, Hebei GEO University, China. His research interests mainly include low carbon energy management, intelligent forecasting technology. Dr. Liang’s papers have been published in Energy, Journal of Cleaner Production, Applies Soft Computing, Energies, Sustainability and Journal of Energy Engineering among others.

Workshop Title 24 : Integration of solar car and smart grid
Keywords: New energy vehicles , solar car, Smart grid, New energy power
Summary: The rapid development of human industrialization has brought increasingly serious environmental problems. Global warming will bring a series of problems, including the melting of polar glaciers, extreme climate, and low carbon has become the focus of the world today. In recent years, China's new energy smart vehicles and new energy power generation technology, including solar and wind, have made great progress. How to further combine new energy vehicle technology with smart energy technology, improve the intelligent level of the grid, and use the energy storage capacity of smart electric vehicles to improve the utilization of new energy power systems are the key issues discussed in this topic. Through analyzing the relevant development and impact factors, Put forward constructive suggestions for the combination and development of smart electric vehicles and smart grid, especially focus on the solar car and it’s connection with home power system.

Chair: Prof. Youtong Zhang, 
Beijing Institute of Technology, China
Biography: Professor of Beijing University of Technology, visiting scholar of the University of Wisconsin-Madison, director of the Clean Vehicle (Beijing Key) Research Laboratory, Member of the Beijing Internal Combustion Engine Society, director of the Beijing Association for Foreign Exchange, member of the Professional Committee of Testing Technology of the China Society of Military Engineering,, special editorial board member of the "Automotive Internal Combustion Engine", Chutian scholar of Hubei Province, and part-time professor of Hubei University of Arts and Sciences. The current research directions are: 1) new energy vehicle power control technology; 2) Intelligent driving vehicle network security technology; 3) Automotive integrated electronic technology; 4) Automobile motor control and test technology.

Workshop Title 25 : Intelligent Maintenance of Advanced Equipment for Smart Grid
Keywords: high voltage and insulation technology,smart grid technology,advanced equipment technology
Summary: The smart grid, with energy storage and ultra-high voltage as the main components, is the main technology for developing new energy sources such as wind and solar power. The performance, service life and cost of advanced equipment are the key to the development of smart grid. Advanced equipment includes energy storage system, high voltage transmission system, transformer, cable, and other equipment. Intelligent maintenance of advanced equipment is the basis of smart grid. The development of artificial intelligence provides a new solution for the maintenance of advanced equipment. Topics of this workshop include energy storage system safety, high voltage transmission system, artificial intelligence, advanced equipment status intelligent awareness, intelligent maintenance.

Chair: Prof. KuiChen, School of Electrical Engineering, Southwest Jiaotong University, Chengdu, China
Biography: Chen Kui received the Ph.D. degree from Université Bourgogne Franche-Comté, France, in 2020, and became a Postdoctoral Fellow with Université Bourgogne Franche-Comté, during 2020-2022. He is currently a professor in Southwest Jiaotong University, China. His main research directions are battery health management system, big data AI, electrical equipment durability. He participated in more than 10 research projects, including the EU 7th Framework Programme (FP7), National Natural Science Foundation of China, Agence Nationale de la Recherche (ANR), and the Southwest Jiaotong University new interdiscipline project. He has published more than 30 academic papers. He was invited to serve as a reviewer for 18 SCI journals including Energy Conversion and Management and Applied Energy.

Co-Chair: Assoc. Prof. KaiLiu, School of Electrical Engineering, Southwest Jiaotong University, Chengdu, China
Biography: Liu Kai, PhD, Master Supervisor, IEEE Member, Member of PES China High Voltage Insulation Technical Committee, Member of IEEE P2747, IEEE P2821, IEEE P2772 Working Group. In 2018, he received a Doctor's degree in Engineering from Chongqing University, mainly engaged in multi-physical field calculation and state analysis of electrical equipment, online monitoring and fault diagnosis of electrical equipment in the field of power system and rail transit. He has presided over 1 project of National Natural Science Foundation for Young People, 1 project of Basic scientific Research Funds for central universities, 2 science and technology projects of State Grid Corporation and 3 projects of CRRC Group. In recent years, he has been published in the International Journal of Heat and Mass Transfer, Applied Thermal Engineering and IEEE Transactions on Top journals Magnetics et al. published 16 SCI and EI papers and authorized 5 patents.

Workshop Title 26 : Smart Grid and Green Low Carbon Energy Storage
Keywords: Smart Grid; Energy Storage Systems; Equivalence Modeling; Status Assessment; Intelligent Control
Summary:Focusing on the national development needs of smart grid and green low-carbon energy storage, the conference will enhance the communication between scientific researchers and scholars in new energy-related research fields, jointly discuss the frontier themes of equivalence modeling, status assessment, health evaluation, life prediction, and smart grid development, exchange research results in power system wide-area measurement and control, smart energy information support technology, micro-grid, and distributed energy storage, and promote the long development of core algorithms and technologies related to the control of new energy and energy storage systems in automation, intelligence, and networking.

Chair: Prof. Qi Huang, Southwest University of Science and Technology, China
Biography: Research on Smart Grid and Energy Storage has been conducted for a long time, including wide area measurement and control of power systems, analysis and control of large grids, intelligent energy information support technologies, large-scale multi-renewable energy system grid integration and consumption, and tunnel transmission. More than 20 national and provincial projects such as the National Key R&D Program and the National Natural Science Foundation of China have been undertaken. Lots of prizes have been awarded, including the first China Instrument Society prize, the second prize of the Sichuan Provincial Science and Technology Progress Award, and the second Excellent Science and Technology Achievement of the Ministry of Education prize. More than 300 academic papers, including more than 160 SCI papers, and 2 Wiley-IEEE monographs have been published. And more than 100 patents have been applied for, among which more than 60 national invention patents and 1 US patent have been authorized.

Co-Chair: Prof. Shunli Wang, Southwest University of Science and Technology, China
Biography: Focusing on the new energy measurement and control research with the core of lithium battery state co-estimation for a long period, exploring the theory of whole life cycle state measurement and control and industrializing application.56 projects such as the National Natural Science Foundation of China and key R&D projects of the Provincial Science and Technology Departmenthave been undertaken. In the past 5 years, 19 articles in Zone 1 of CAS have been published. Ranking first, 5 invention patents and 3 team standards have been authorized, and 2 Elsevier monographs and 2 IET monographs have been published, as well as the second prize in Natural science of the Chinese Automation Association, the second prize in Science and Technology Progress of China Invention Association, the third prize of Sichuan Province Science and Technology Progress, and the first prize of Mianyang City Science and Technology Progress are awarded. The achievement was appraised to be at the advanced international level and reported by People's Daily.
Workshop Title 27 : Optimization of PV-Wind-Diesel-Battery Hybrid Off-Grid Microgrid Addressing Sustainable Development Goals
Keywords: microgrid, Solar PV, wind, Battery, converter, renewable energy, cost of energy, net present cost, multi criterion analysis, SDG
Summary:This paper studied the potentiality of an off-grid hybrid microgrid for harnessing efficient energy at Rohingya refugee camp in Bhasan Char, a small Island in the southern part under Noakhali District of Bangladesh. In order to choose the most appropriate microgrid configurations, six microgrid architectures that include solar PV, wind turbines, diesel generators, converters, and batteries have been rated. By evaluating the performance these six different combinations an optimal configuration has been determined following a systematic approach considering distinct parameters and different components in a group. This study is enhanced by many performance indicators, such as per unit cost of energy, capital cost, renewable energy fraction, emission of CO2, excess electricity, unmet load etc. According to evaluation, this paper recommends PV-Wind-Diesel-Battery-Converter as an ideal hybrid microgrid system for the policymakers for the selected area. For the most feasible microgrid case, in this paper, the electrical, financial, emissions and sensitivity analysis have been conducted. This hypothetical approach can help researchers and decision-makers to plan microgrids more effectively based on accessible local energy resources.

Prof. Dr. Md. Abdur Razzak, Independent University, Bangladesh
Biography: Md. Abdur Razzak received MSc and PhD in Energy Engineering from Nagoya University, Japan, in 2003 and 2006, respectively, and BSc in EEE from Rajshahi University of Engineering and Technology in 1995 securing first class first position with Gold Medal. He is currently a Professor of Electrical and Electronic Engineering, Additional Director of Green Energy Research Center, and Director of Institutional Quality Assurance Cell at IUB. He also served as the Head of EEE department at IUB during 2016-2018. He is a recipient of Japanese Government Scholarship (2000-2006), IEEE Graduate Scholar Award (2005), Japan Society for the Promotion of Science Postdoctoral Fellowship Award (2008), RUET Gold Medal (1995), HKUST Fellowship (1999), Hori Information Promotion Award (2005), Visiting Professorship at University Technology Malaysia (2015), IUB Teaching Excellence Award (2020) and Publication Excellence Award (2020). He served as the General Chairs, Technical Program Chairs, Session Chairs, and Editorial Members in more than 50 journals and international conferences. He has been invited in more than 25 national & international conferences and universities as keynote speakers. He has more than 25 years of teaching and research experiences and published more than 175 research articles in peer-reviewed journals and international conferences. His research interests include power electronics, renewable energy technologies, smart grid and Internet of Things. He is a senior member of IEEE and Fellow of IEB.

Workshop Title 28 : Forecasting of Solar Irradiance using hybridization of wavelet variants and deep learning models.
Bidirectional long short-term memory, full wavelet packet transform, wavelet decomposition, solar irradiance, deep learning
The forecasting of solar irradiation is important not only for the grid stability but also for the smooth operation of grid. But the unpredictable and sporadic nature of solar photovoltaic (PV) production has started to pose a danger to the security and dependability of grids that are connected to the solar. Therefore, in an effort to find a stable solution, this work suggests a hybrid model that uses the wavelet variants like wavelet transform (WT), full wavelet packet transform (FWPT) and the bidirectional long short-term memory (BILSTM) to predict a day's worth of solar irradiation. Through a decomposition procedure, the wavelet variants extract numerous frequency properties and statistical aspects from the data. Each decomposed frequency component (sub-series) is then allocated to the standalone BILSTM network with a dropout layer, which serves as a fundamental predictor and derives the subseries' futuristic value. The effectiveness of the suggested model is demonstrated by comparing statistical parameters, including mean absolute error (MAE), mean absolute percentage error (MAPE), root-mean-square error (RMSE), and coefficient of determination (R2), to various contrast models, including naive forecaster, long short-term memory (LSTM), gated recurrent unit (GRU).

Program coordinator and Assistant Professor, Dr. Pardeep Singla, Asia Pacific Institute of Information Technology, Panipat, INDIA
Dr. Pardeep Singla received the B.E. and M.Tech. degree in electronics and communication engineering from Maharishi Dayanand University, Rohtak, India, in 2008 and 2012. He received the Ph.D. degree in the Department of Electronics and communication Engineering, Deenbandhu Chhotu Ram University of Science and Technology, Sonipat, India in 2023. He is serving as Program Coordinator and Assistant Professor at Asia-Pacific Institute of Information Technology, Panipat India. He has published several research papers in reputed SCI indexed, SCOPUS indexed journals (Taylor and Francis, Springer etc.). He is also serving as a reviewer of various reputed SCI indexed journals from reputed publishers like Springer, Elsevier etc. His research interests include solar and wind forecasting, Deep learning, Signal processing techniques.

Workshop Title 29 : Power Flow Analysis and Its Convergence Improvement Theories for Large-Scale Modern Energy Systems
Keywords: Convergence, Large-scale, Multi-energy systems,Power flow, Transmission-distribution coordination
Summary: The convergence issues in the modern AC/DC hybrid power systems have drawn wide concerns, particularly in light of increasing uncertainty from renewables. Due to the uncertainty of renewable energy and the multiple operation modes of inverters, the power system faces massive operation scenarios and also requires strengthened engine of power flow calculations. For power flow calculations, the traditional numerical iterative techniques may not converge or converge to non-operating points, since they heavily depend on the choice of the initial point. Thus, by using the traditional method, the power flow results might be unreliable, so the secure status of the power system may not be accurately assessed.
This workshop aims to present state-of-art research work on the advanced well convergence method for power system calculation in a massive operation scenarios of modern power system. The topics of the workshop include, but are not limited to:
1.The holomorphic embedded methods in solving AC/DC hybrid power system, distribution system and microgrid
2.The analytical continuation methods for convergence improvement in simulation 
3.The identification of vulnerable areas or buses using reliable power flow calculation methods
4.The holomorphic embedded methods for solving integrated energy systems are: the electrical-gas interconnection system, the electrical-heat interconnection system, or the electrical-gas-heat interconnection system.
5.The reliable power flow calculation methods consider bus type conversion, for example, PV to PQ conversion.
6.The advanced voltage risk or margin assessment algorithm considers the influence of various uncertainties.
Advanced fast fault screening and fault analysis algorithms for power systems

Chair: Prof. Chengxi Liu, Wuhan University, China
Chengxi Liu received the B.S. and M.S. degrees in electrical engineering from the Huazhong University of Science and Technology, Wuhan, China, in 2005 and 2007, respectively, and the Ph.D. degree from Aalborg University, Denmark, in 2013. He was a Power System Analyst with (the Danish TSO) until 2016, and a Research Associate with the University of Tennessee, Knoxville, TN, USA, from 2016 to 2018. He was an Associate Professor with the Department of Energy Technology, Aalborg University. He is currently a Full Professor with the School of Electrical Engineering and Automation, Wuhan University. His research interests include power flow analysis, power system stability, simulation methods for power systems, machine learning applied on power systems. He firstly proposed the physical germ for holomorphic embedding and analytic continuation methods for power system analysis and analytical power flow solutions to improve overall convergence of power flow calculation.

Co-Chair: Prof. Tao Jiang, Northeast Electric Power University, China
Biography: Tao Jiang, received the B.S. and M.S. degrees in electrical engineering from Northeast Electric Power University, Jilin, China, in 2006 and 2011, respectively, and the Ph.D. degree in electrical engineering from Tianjin University, Tianjin, China, in 2015. He is currently a Professor with the Department of Electrical Engineering, Northeast Electric Power University. From 2014 to 2015, he was a visiting scholar with the Department of Electrical and Computer Engineering, North Carolina State University, Raleigh, NC, USA.  From Oct. 2018 to Oct. 2019, he was a visiting scholar with the Department of Electrical Engineering and Computer Science, The University of Tennessee, Knoxville (UTK), USA. His research interests include power system stability and control, renewable energy integration, and integrated energy systems.

Workshop Title 30 : Basic Theory of Agricultural Energy Internet
Energy internet, agricultural electrification, renewable energy, photovoltaic greenhouse, carbon emission reduction
Petroleum agriculture, characterized by mechanization and chemistry, is developing rapidly in China. However, petroleum agriculture has not only brought food safety problems but also caused great obstacles to the sustainable development of society. In view of the disadvantages of oil agriculture, an upgrading plan is necessary for energy systems in agriculture. Agricultural energy internet can help reduce carbon emissions and improve food security. This workshop will be focusing on the topic related to the most advanced technologies in agricultural energy internet, such as agricultural and forestry biomass power generation, agriculture-PV complementary, and fishery-PV complementary. Scholars who are interested in the topic are welcome to participate in this workshop.

Chair: Assoc. Prof. Xueqian Fu, China Agricultural University, China
Biography: Xueqian Fu (Member, IEEE) received his B.S. and M.S. degrees from North China Electric Power University in 2008 and 2011, respectively. He received his Ph.D. degree from South China University of Technology in 2015. From 2011 to 2015, he was an electrical engineer with Guangzhou Power Supply Co. Ltd.. From 2015 to 2017, he was a Post-Doctoral Researcher with Tsinghua University. He is currently an Associate Professor at China Agricultural University. His current research interests include statistical machine learning, Agricultural Energy Internet, and PV system integration.
He is an associate Editor-in-Chief of “Information Processing in Agriculture", an editorial member of “Journal of Solar Energy Research Updates", an associate editor of “Protection and Control of Modern Power Systems”, Lead guest editor of “International Transactions on Electrical Energy Systems", Guest Associate Editor of “Frontiers in Energy Research", and Guest Editor of “Applied Sciences". In 2020 and 2022, he served as the Session chair of IEEE AEEES 2020 and IEEE AEEES 2022, respectively. In 2022, he served as the Invited Speaker and Session chair of ICPE2022.

Co-Chair:  Assoc. Prof. Liwei Ju, North China Electric Power University
Biography: Ju Liwei, male, 1989, associate professor, North China Electric Power University. The bachelor's and doctoral degrees are received from North China Electric Power University in 2012 and 2017. I am the Elsevier China Highly Cited Scholars in 2020 and 2021. My mainly research field is energy system modeling and decision optimization, energy economy and policy analysis, electricity market, distributed energy optimization and utilization and integrated energy system. During the pass five years, I have already presided two National Natural Science Foundation of China projects, two Beijing Municipal Social Science Foundation projects, 1 China Postdoctoral Fund project. I have already published more than 30 papers as the first author in domestic and foreign journals such as Applied Energy, Energy, Energy Conversion and, Management, etc. and published 2 monographs by Science Press.

Workshop Title 31 : Modeling, Stability and Control of Power Electronic Converters Dominated Power Systems
Keywords: Modeling, Stability, Control, Power Converters, Microgrid
Summary: The power system is becoming a power-electronic-converters dominated dynamic system. In some special scenarios, the grid form of an all-power-electronic power system will appear, such as a microgrid, renewable generation stations without supporting of synchronous generators. In a microgrid with its capacity lower than 1~10 MW, we have known how to realize reliable coordinated control of multiple power converters based energy storage systems. But for microgrids with capacity larger than 100 MW, or other large-scale power electronic converters dominated power systems, since power electronic converter has the features of multiple control time-scales, strong nonlinearity,weak overcurrent capacity, grid-forming control and stability are facing significant challenges. It is urgent to explore more perfect modeling, stability analysis and control methods for such power systems, to provide guarantee for the safe and stable operation of new electricity power system.

Chair: Assoc. Prof. 
Li XialinSchool of Electrical Automation and Information Engineering, Tianjin University, China
Li Xialin received the B.Sc. and Ph.D. degrees from Tianjin University, Tianjin, China, in 2009 and 2014, respectively. In 2016, under the State Scholarship Fund, he was invited as a Visiting Professor to the Department of Electrical and Computer Engineering, University of Alberta, Edmonton, AB, Canada. Since 2018, he has been an Associate Professor with the School of Electrical Engineering and Automation, Tianjin University. He has published more than 70 SCI/EI papers. His current research interests include modeling, stability and control of microgrid, and power electronic converters dominated power systems.
Workshop Title 32 : Computer vision and machine learning for smart grid and its assets health monitoring 
Keywords: Smart grid, computer vision, IoT, smart asset, deep learning, AI, monitoring
Summary: Mostly in developing countries, it has been observed that the lack of proper maintenance for smart grid assets/equipment creates a problem for utility centers and consumers to get proper information and services respectively. The integration of computer vision and a deep learning-based approach can monitor the health of various electrical gadgets that are deployed in remote and harsh locations. The images that have been collected through a drone (an IoT) device can be used for analysis and decision-making. This model will help to gather information about the damaged device and make available quick maintenance support.

Chair: Assoc. Prof. Dr. Hitesh Mohapatra, KIIT Deemed to be University, Bhubaneswar-751024, Odisha, India
Biography: DR HITESH MOHAPATRA received the B.E. degree in Information Technology from Biju Patnaik University of Technology (BPUT), Odisha in 2006, and the MTech. Degree in CSE from Odisha University of Technology and Research (OUTR) University, Odisha in 2009. He received his Ph.D. in Computer Science & Engineering in 2021 from Veer Surendra Sai University of Technology (VSSUT), Burla, India. He has contributed 30 SCI and Scopus indexed research papers, 35+ international/national conferences and books on Software Engineering and C Programming respectively. He has 15 years of teaching experience both in industry and academia. He has served the research community with various capacities like session chair, technical chair, keynote speaker etc. His research interests include wireless sensor network, smart city, smart grid and smart water. Currently he is working as Associate professor at School of Computer Engineering, KIIT DU, Bhubaneswar, and Odisha.

Co-Chair: Assist. Prof. Dr. Soumya Ranjan Mishra, KIIT Deemed to be University, Bhubaneswar-751024, Odisha, India
Biography: Dr. Soumya Ranjan Mishra is presently working as an Assistant Professor (II) at the School of Computer Engineering, Kalinga Institute of Industrial Technology (Deemed to be University), Bhubaneswar Odisha, India. He has teaching and research experience of more than 10+ years and Industry experience of 2+ years in IT Companies. He did his doctoral degree Ph.D. in the field of Computer vision and machine learning from the National Institute of Technology, (NIT) Durgapur, WB, India. His research interest includes Image Processing, Intelligent Systems, Human-Computer Interaction, Computer Vision and similar innovative areas. His research contribution includes various proceedings/books which include ASIC Springer series, and publications in reputed conferences, book chapters, and journals indexed in SCI/ESCI.
Workshop Title 33Virtual Power Plants and associate Technologies
Keywords: VPP, Big Data, AI, Energy Internet
Summary: The background of environmental protection and the maturity of related technologies, flexible operation modes such as virtual power plant provide a new mode for the operation of energy Internet, and promote the coordinated and orderly development of energy Internet. Emerging technology is the driving force of the rapid development of virtual power plant. How to make better use of emerging technology is the topic we should discuss.

Chair: Prof. Qian AiShanghai Jiao Tong University, China
Biography: Research Field: Power System Operation, Virtual Power Plants, Microgrids, Big Data and its application in Power Systems, Regional Energy Network
-Professor in Shanghai Jiao Tong University, from 2010 to present
-Associate Professor in Shanghai Jiao Tong University, from 2003 to 2010
-Post Doctor in University of Bath,UK, from 2000 to 2002
-Post Doctor in Nanyang Technologies University, Singapore in 1999
-Ph.D from Tsinghua University in 1994.6-1998.11
-Master Degree from Wuhan University in 1991.9-1994.6
-Bachelor Degree from Shanghai Jiao Tong University in 1987.9-1991.7

Co-Chair: Assist. Prof. Xing HeShanghai Jiao Tong University, China
Biography: Dr. He works as an associate research fellow in Shanghai Jiao Tong University. He received his Ph.D. degree from Shanghai Jiao Tong University, in 2017. His research work in the field situation awareness of smart grid focuses on spatial-temporal data analytics and digital twin technology. He has published 8 papers on IEEE Trans journals, 2 books, 3 international book chapters, and 3 patents. In 2020, Dr. He is the convener and chair of the 3rd Youth Forum on Energy Innovation for his research work on digital twin technology, and a Reporter in Panel Session of IEEE PES General Meeting (online) for his research work on spatial-temporal data analytics. He is also the Guest Editors for special issue on Digital twin Technology and its application in Power systems in the journal of Power System Technology. Dr. He is an IEEE Senior Member and awarded as Outstanding Young Engineer by IEEE PCCC in 2020.

Workshop Title 34Industrial drives and controls
Keywords: DC drives control, Stability analysis, Tuning of controller and Time domain response
Summary: Industrial drives are used in many different applications across the factory floor as a key part of the next generation of factory automation. There are many different types of motors used depending on the requirements, from turning shafts or driving pumps and fans. The electric motor in an industrial drive can use a range of different techniques, from brushed or brushless DC to variable-speed drives as well as single- and three-phase AC motors.  The industrial drive combines a suitable motor with a drive or inverter to control the speed, torque and position, as well as switches, sensors and communications links as part of the Industrial Internet of Things (IIoT).

Chair: Assoc. Prof. Dr. Pasala Gopi, Annamacharya Institute of Technology and Sciences (Autonomous), Andhra Pradesh, India,
Biography: Dr. Pasala Gopi received his Ph.D degree in Electrical Engineering from KL University, India. 
  • He is having teaching experience of 16yrs and research experience of 5yrs. 
  • He is having 17+ research article in various peer reviewed international journals and conferences. 
  • Int. Journals: 10 (Scopus, SCIE, and WoS) 
  • Int. Conferences: 6 (Scopus and IEEE explore) 
  • Book chapters : 2 (Elsevier and Springer) 
  • Delivered two guest lectures (online mode) on emerging technologies like renewable energies and energy efficient technologies. 
  • Completed certificate courses on emerging technologies like Solar PV design, EVs, Industrial IoT from various IITs, India. 
  • Workshops/FDPs attended : 31 
  • No. of patents: 2,     Books published: 1 
  • Convener and coordinator for various national and international conferences. 
  • Scientific committee member for various international conferences. 
  • Reviewer for various peer reviewed international journals and conferences. 
  • Jury member, INSPIRE manak-2020 state and district level project exhibition and competitions organized by Dept. of School education and Dept. of Science and Technology, India.
Workshop Title 35 :  Refined modeling of renewables and batteries for energy forecasting, power system dispatching, and microgrid configuration
Keywords:  Forecasting; Dispatching; Configuration; Control; Microgrid; Batteries; Photovoltaics; Wind turbines
Summary: Largely owed to the multi-disciplinary nature of large-scale grid integration of variable renewables, such as wind or solar, high-precision and cross-domain modeling of key components of new power system has hitherto been lacking. At the moment, surrogate modeling of wind turbine, photovoltaic (PV), and batteries predominates. Aiming at improving the overall power system operations, this workshop focuses on refined modeling of renewables and batteries (including other storage devices), and how they interact with traditional power system operations, such as forecasting, dispatching, control, or configuration. For example, the theoretical description of the wind power curve is injective, but the actual wind power curve is not; similarly, simple PV model assumes a one-to-one mapping between irradiance/temperature and power, but the actual relationship may be more intricate. On this point, “What happens to forecasting and dispatching if we change these simple models to refined ones?” is the kind of question that this workshop seeks to inquire.

Chair:Dr. Wenting Wang, Harbin Institute of Technology, China
Wenting Wang received her B.Eng. and M.Sc. degrees from the Northeast Electric Power University, China, in 2017 and 2020, respectively. Currently, she is pursuing the Ph.D. degree with the Department of Electrical Engineering and Automation, Harbin Institute of Technology. She has a profound interest in solar forecasting and grid integration, and power system scheduling. She has authored more than 20 journal papers, with a total citation of 163, and an H-index of 7. She has authorized 3 patents and participated in more than 10 research and industrial projects as a key member. In 2021, she was invited by the Institute of Atmospheric Physics, Chinese Academy of Sciences, and published an article titled “A concise overview on solar resource assessment and forecasting” in Advances in Atmospheric Sciences, which is now an ESI highly cited paper. In 2022, she has been awarded with the SPIES 2022 best paper award and best paper award of Women in Power Forum.

Co-chair: Dazhi Yang, Harbin Institute of Technology, China
Dazhi Yang is a professor with the Harbin Institute of Technology. He received the B.Eng., M.Sc., and Ph.D. degrees from the Department of Electrical Engineering, National University of Singapore, Singapore, in 2009, 2012, and 2015, respectively. In 2020, he received support from the National Talent Program, which is a high-prestige research award by the Ministry of Industry and Information Technology of China. In 2017, he became the youngest associate editor of the Solar Energy journal, and has been serving as one of four subject editors of that journal since 2019. He is an active participant of the International Energy Agency, Photovoltaic Power Systems Programme, Task 16. He has published 115 journal papers, with a total citation number of 5650 (Google Scholar), an H-index of 41, and an i-10 index of 91. Currently, he has most journal publications on solar forecasting in the world. In 2020 and 2021, he is listed as one of the world's top 2% scientists (for both single year and career) by Stanford University. In 2021 and 2022, he is listed as one of the world's top 100,000 scientists published by the Global Scholars Database.
Workshop Title 36 :  Capacity Optimization and Coordinated Control Method of Integrated Energy System
Keywords:  Integrated energy system;Coordination control;Capacity optimization;Simulation;Algorithm
Summary: New energy power generation system coupled with energy storage unit is the inevitable development trend of future power generation; Hydrogen energy has the characteristics of clean, green and pollution-free, and is suitable for assuming the role of energy storage in new energy power generation. Therefore, adding electrolytic cell hydrogen production unit, hydrogen storage tank unit, fuel cell power generation unit, etc. in new energy power generation can effectively suppress the volatility and randomness of new energy power generation. This seminar will discuss the control strategy and capacity optimization of the new energy power generation system coupled with energy storage units, and provide ideas for the development of the future integrated energy system.

Chair:Prof. Hua Li, Inner Mongolia University of Technology, China
Candidate for the "New Century 321 Talent Project" of Inner Mongolia Autonomous Region and the backbone member of the discipline of new energy science and engineering of Inner Mongolia University of Technology. He has been engaged in research on new energy power generation control and energy storage technology, microgrid coordination control technology and multi-energy comprehensive utilization technology for a long time, presided over 2 provincial and ministerial projects, presided over 1 major special sub-project of Inner Mongolia, participated in 2 national projects, and wrote a monograph "Research on microgrid control technology" . More than 30 academic papers have been published, including 5 SC1 journal papers as the first author and corresponding author, and 9 E1 journal papers. Three authorized patents were obtained, including one national invention patent and one foreign patent. The research field is new energy power generation technology and renewable energy power generation and hydrogen production technology, mainly carrying out research on improving the comprehensive utilization rate of energy, and realizing carbon neutralization by combining electric energy and hydrogen energy.
Workshop Title 37 :  Modeling, Optimization and Control of Fuel Cell/Electrolyzer Cell System
Keywords:  fuel cell/electrolyzer cell system, modeling, optimization and assessment, control
Summary: Fuel cell is a clean and efficient energy conversion technology, which directly converts chemical energy stored in fuel to electric power via electrochemical reaction without combustion and mechanical movement, has attracted more and more attention. In China, the low temperature PEMFC and high temperature SOFC developed fast in the last decades, their applications can contribute to the goal of “Carbon peaking and carbon neutrality”. However, the high cost and low life time are still critical issues for their large-scale applications. These years, with the motivations of increse the system service time and lower the system integration cost, researchers and engneers have conducted many studies regarding the modeling, optimization, assessment and control of fuel cell systems and important results are reported, accelerating the developement of fuel cell technology. Meanwhile, as the reverse reaction device of fuel cell, fuel electrolytic cell can efficiently convert excess wind power and photoelectric electric energy into hydrogen or methane fuel, realizing high efficiency electric energy storage and carbon capture. Therefore, the fuel electrolytic cell plays an important role in the future hydrogen energy production and consume cycle. In this workshop, the recent study and development of fuel cell/ fuel electrolyter system or fuel cell based microgrid are introduced and discussed.

Chair:Prof. Jianhua Jiang, Huazhong University of Science and Technology, China
Jianhua Jiang, Ph.D Associate Professor, School of Artificial Intelligence and Automation, Huazhong University of Science and Technology, Xiangjiang Scholar (Hongkong);    Mainly engaged in machine learning, big data analysis and intelligent control algorithm, and their application research in solid oxide fuel cell system, solid oxide electrolyzer, hydrogen/electric power storage system, microgrid systems, including intelligent battery monitoring and fault diagnosis, system health prediction machine learning algorithm, industrial big data intelligent analysis, microgrid intelligent cooperative control, etc. In the research field, he has been managed over more than 10 scientific research projects of National Natural Science Foundation (3) and provincial or ministerial level, published more than 40 papers in Applied Energy, Energy conversion and management, Energy, Journal of Energy Storage, International Journal of Hydrogen Energy and other TOP SCI journals, and holds more than 40 patents.   He won the Geneva Gold Medal of Invention (2018), the Special Prize of Science and Technology Progress of China Federation of Commerce (2018), the Second Prize of Science and Technology Progress of Hubei Province (2018), the second prize of Technology Invention of Hubei Province (2021), the Best Paper of China Automation Conference and other awards (2021).   He was awarded "Hong Kong Scholars" and International Clean Energy Top Talent Program (ICET2019).
Workshop Title 38 :  New Power System Disaster Prevention
Keywords:  New Power System; Power Grid Security; Disaster Prevention
Summary: Power grid security is very important for national energy security. However, A large number of severe power outages are caused by disasters such as freezing, fire, and lightning strikes. In recent years, the new power system is building to realize the carbon peaking and carbon neutrality goals in China. The new power system security are facing many new serious challenges.This workshop will be focusing on the topics related to new power system disaster prevention technology and equipment to provide technical support for the safety of new power systems operation.

Chair:Prof. Jiazheng Lu, State Key Laboratory of Disaster Prevention & Reduction for Power Grid Transmission and Distribution Equipment, China
Lu Jiazheng, Ph.D., researcher-level senior engineer, director of the State Key Laboratory of Disaster Prevention & Reduction for Power Grid Transmission and Distribution Equipment, has long been committed to scientific research and engineering application of power grid disaster prevention. National "Ten Thousand Talents Program" scientific and technological innovation leading talents, "New Century Hundreds of Thousands of Talents" national-level candidates, experts enjoying special allowances from the State Council, and State Grid Corporation's leading scientific and technological innovation talents. He won the first prize of National Science and Technology Progress Award, the second Prize of National Technology Invention Award, and the China Patent Gold Award as the first person to complete. He authorized 86 invention patents, published 3 monographs, and published 57 SCI/EI papers.
Workshop Title 39 :  Renewable Energy
Keywords:  Wind Power, Solar Power, Stored Energy, Electricity Price, Battery
Summary: The workshop focus on six aspects. 1.The View on China Future Wind Power Development. 2.Present Situation and Prediction on Photovoltaic in China. 3.The Expectation of Biomass Power Development in China. 4.Transportation Electrification, Battery Management. 5.Strategies and Policies on Promoting Massive Renewable Energy Development. 6.Formation Mechanism of  Electric Price for New Energy in China.

Chair:Prof. Zhang Jinliang, North China Electric Power University, China
Zhang Jinliang is a professor and doctoral supervisor at North China Electric Power University. In 2015, he worked as a postdoctoral fellow at Beijing University of Technology. In 2017, he worked as a visiting scholar at Maladaren University in Sweden. In 2019, he worked as a postdoctoral fellow at Tufts University in the United States. He is the executive director of Coordinating Branch for Chinese Society of Optimization, Overall Planning and Economic Mathematics. He published more than 60 papers as the first author, and host 20 projects.

Co-Chair:Assoc. Prof. LI Heng, Central South University, China
Heng Li works as an associate professor at Central South University. He received his bachelor’s and Ph. D. degrees from Central South University in 2011 and 2017 respectively. He worked as a Research Assistant at University of Victoria from November 2015 to November 2017. He joined Central South University in November 2017. His research areas include transportation electrification, battery management systems. Dr. Li was a recipient of the Excellent Ph.D. Thesis Award of Central South University and Hunan Province, Hunan Provincial Natural Science Award and China Railway Academy Science and Technology Award.