Special Session 6

Topics (Including but not limited to)

• Spatiotemporal Forecasting for Smart Energy Systems / 智能能源系统的时空预测
• Wind Power Forecasting under Extreme Weather Conditions / 极端气象条件下的风电功率预测
• Intelligent Dispatching and Resilience Enhancement of Smart Grids / 智慧电网的智能调度与韧性增强
• AI-Driven Integrated Energy Management for Smart Cities / 人工智能驱动的智慧城市综合能源管理

Chair: Prof. Lianlei Lin, Harbin Institute of Technology, China

Lin Lianlei was born in 1980.Prof. Lin Lianlei received his B.S., M.S., and Ph.D. degrees from Harbin Institute of Technology. He is currently a Professor and Ph.D. Supervisor at HIT and a High-Level Talent of Heilongjiang Province. From 2017 to 2018, he was a Visiting Scholar at the Center for Applied Mathematics, Purdue University, USA. His research interests include intelligent modeling and applications of complex natural environments, parallel and joint testing technologies for advanced equipment, and deep spatiotemporal networks. He leads the Intelligent Environmental Modeling and Applications Research Group at HIT. He has published more than 40 SCI-indexed papers, including articles in Nature Portfolio journals, top-tier journals, and IEEE Transactions, authored four academic monographs, and holds over 40 granted invention patents.

Co-chair: Dr. Xiaowei Huai, Hunan Disaster Prevention Technology Co., Ltd, China

Huai Xiaowei received his Ph.D. from the Institute of Atmospheric Physics, Chinese Academy of Sciences. He is currently Senior Engineer, Deputy Director of the Achievement Transformation Research Center at Hunan Disaster Prevention Technology Co., Ltd., and a core researcher at the National Key Laboratory of Power Grid Disaster Prevention and Mitigation. His research interests include numerical and AI-based disaster prediction for new power systems. He has published over 20 high-level SCI papers, holds 31 authorized invention patents.

Co-chair: Dr. Zongwei Zhang, Harbin Institute of Technology, China

Zhang Zongwei was born in 1996. He is currently a Ph.D. candidate with the School of Electronics and Information Engineering, Harbin Institute of Technology. He is also a "ChunYan" reserved faculty member with the same school. His research interests include wind speed modeling for wind power applications and joint power forecasting of wind and photovoltaic generation. He has published papers in journals such as Nature Communications, Renewable and Sustainable Energy Reviews, and Information Fusion.

Co-chair: Dr. Hangyi Yu, Harbin Institute of Technology, China

Yu Hangyi was born in 2001. She received the bachelor’s degree in measurement and control technology and instrumentation in 2022 from the Harbin Institute of Technology, Harbin, China, where she is currently working toward the Ph.D. degree in information and communication engineering. Her research interests include physics-informed deep learning and urban environmental modeling.

Co-chair: Dr. Junkai Wang, Harbin Institute of Technology, China

Wang Junkai was born in 1993. He received the Ph.D. degree in Information and Communication Engineering from Harbin Institute of Technology in 2025. He is currently an Associate Research Fellow with the School of Electronics and Information Engineering at Harbin Institute of Technology. His research interests include complex environment intelligent modeling based on deep neural networks, virtual environment data generation, three-dimensional wind field prediction and reconstruction.