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Session 9: Advances in Sustainable Energy Systems on the Demand Side

“需求侧可持续能源系统的进展”

Session 9

Advances in Sustainable Energy Systems on the Demand Side
“需求侧可持续能源系统的进展”

The goal of this special session is to explore cutting-edge research and advancements in sustainable energy systems from the perspective of demand-side management within the realm of electrical engineering. The focus is on innovative strategies, technologies, and methodologies that enhance energy efficiency, optimize energy usage, and integrate renewable energy sources at the consumer end. This special session invites high-quality contributions that address theoretical, computational, and experimental developments in the following areas:

  • 1. Demand Response and Management: Techniques for real-time demand response, load forecasting, and strategies for peak load reduction.
  • 2. Smart Grid Technologies: Integration of smart meters, IoT devices, and intelligent control systems for efficient energy management.
  • 3. Energy Storage Solutions: Advances in battery technologies, virtual storage systems, and their applications in residential, commercial, and industrial settings.
  • 4. Renewable Energy Integration: Methods for seamless incorporation of solar, wind, and other renewable sources into existing energy networks on the demand side.
  • 5. Energy Efficiency: Innovations in energy-efficient appliances, building energy management systems, and optimization algorithms for reducing energy consumption.
  • 6. Electric Vehicles (EVs): Impact of EVs on demand-side energy systems, including smart charging infrastructure, vehicle-to-grid (V2G) technologies, and load balancing.
  • 7. Peer-to-Peer Energy Trading: Development and implementation of P2P energy trading platforms, blockchain applications, and market mechanisms.
  • 8. Microgrids and Distributed Generation: Design, operation, and control of microgrids, and their role in enhancing local energy resilience and sustainability.
  • 9. Policy and Regulation: Analysis of regulatory frameworks, incentives, and policies that promote demand-side energy sustainability.
  • 10. Data Analytics and Machine Learning: Applications of big data, machine learning, and artificial intelligence in optimizing demand-side energy management.

Chair: Assoc. Prof. Yu Huang, Nanjing University of Posts and Telecommunications, China

Yu Huang received his B.S. degree from Nanjing University of Aeronautics and Astronautics, Nanjing, China, in 2015, and the Ph.D. degree from Southeast University, Nanjing, China, in 2020, both in Electrical Engineering. He is currently an associate professor with the Institute of Carbon Neutrality and Advanced Technology, Nanjing University of Posts and Telecommunications, China. He was a Visiting Research Scholar with Department of Electrical and Computer Engineering, Purdue University, West Lafayette, IN, USA. As the first/corresponding author, He has published more than 20 SCI/EI indexed journal papers. Dr. Huang served as the technical committee member and session chair of several IEEE/international academic conferences. His research interests include power system operation and optimization, uncertainty quantification and risk analysis of renewable integrated systems.

Co-chair: Asst. Prof. Yuanxing Xia, Hohai University, China

Yuanxing Xia received the B.Sc. degree in electrical engineering from Hohai University, Nanjing, China, in 2019, and the Ph.D. degree in electrical engineering with the School of Electrical Engineering, Southeast University, Nanjing, China, in 2023. He is currently an Assistant Professor with the College of Electrical and Power Engineering, Hohai University. His research interests include the energy storage technology and P2P power transaction. As the first/corresponding author, He has published more than 40 SCI/EI indexed journal papers. Dr. Xia serves as the editor and topic editor of eScience, Plos One, Electronics, and Frontiers in Energy Research.

Call for Papers Timeline / 征稿时间

  • Submission of Full Paper: March 10th, 2025
    投稿截止日: 2025年3月10日 

  • Notification Deadline: March 30th, 2025
    通知书发送: 2025年3月30日 

  • Registration Deadline: April 10th, 2025
    注册截止日期: 2025年4月10日