AI for Future Energy Systems: Forecasting, Control, Security, and Sustainability
The rapid transition toward renewable-dominated, decentralized, and digitalized energy systems has introduced unprecedented complexity in system operation, planning, control, and security. Artificial intelligence provides powerful tools for extracting knowledge from multi-source data, enabling adaptive decision-making, improving operational efficiency, and enhancing the resilience of modern energy infrastructures. This special session aims to bring together researchers, engineers, and practitioners to discuss recent advances in AI theories, algorithms, and applications for power and energy systems. Particular emphasis will be placed on the integration of machine learning, deep learning, reinforcement learning, large language models, and multi-agent intelligence with physical energy system models and practical engineering constraints. Topics of interest include, but are not limited to: AI-based forecasting of renewable generation, load demand, and electricity prices; intelligent optimization and control of power systems, microgrids, virtual power plants, and energy storage systems; reinforcement learning for energy management and dispatch; AI-enabled fault diagnosis, condition monitoring, and asset health assessment; cyber-physical security and resilience enhancement; large language models and intelligent agents for energy system operation, knowledge reasoning, and decision support; digital twins and data-driven modeling for smart grids; and trustworthy, explainable, and physics-informed AI methods for sustainable energy systems.
Associate Professor Su Yi
Xiangtan University, China
Yi Su (MIEEE, MIET, MCSEE) was born in March 1991. He received his Ph.D. in Engineering and completed postdoctoral research. He is currently a master’s supervisor at the School of Automation and Electronic Information. He has published over ten SCI/EI-indexed papers as first author, including four CAS Q1 Top journal papers and two ESI Highly Cited Papers. He has been granted two invention patents, three software copyrights, and one standard. Dr. Su is currently leading or participating in several research projects, including a high-quality development project funded by the Ministry of Industry and Information Technology, a sub-project of the Top Ten Technological Research Projects of Hunan Province, and power grid science and technology projects, with total ongoing research funding exceeding RMB 4 million. He has received the First Prize of Science and Technology Progress Award of Guangdong Power Grid, the Second Prize of Hunan Electric Power Science and Technology Award, and a Provincial Excellent Degree Thesis Award. He also serves on several academic committees and as a Young Editorial Board Member of PCMP. His research focuses on artificial intelligence, especially reinforcement learning and large language model applications.
