We invite original research contributions that advance the state-of-the-art at the intersection of artificial intelligence and energy systems. Submissions are welcome on topics including, but not limited to:

- AI for Renewable Energy Generation & Forecasting

- Smart Grid & Energy Infrastructure

- Energy Storage & Battery Intelligence

- Emerging AI Paradigms in Energy

- Sustainable AI & Green Computing

- Energy Economics, Policy & Social Impact

Session 1: Quantum Computing and Artificial Intelligence Technologies for Future Energy Systems

Chairs

Assoc. Prof. Xiaodong Zheng, School of Electric Power Engineering, South China University of Technology

Assoc. Prof. Zhibin Niu, College of Intelligence and Computing, Tianjin University

Assoc. Prof. Heng Zhang, Center for Scientific Intelligence, University of Science and Technology of China

Session 2: Thermonuclear Fusion Energy and High-Temperature Superconducting Magnet Technology

Chair

Prof. Zhibin Wang, Sino-French Institute of Nuclear Engineering and Technology, Sun Yat-sen University

Session 3: New Energy Storage Technologies (Hydrogen Energy, Compressed Air Energy Storage, Gravity Energy Storage, etc.)

Chairs

Dr. Jiarong Li，Harvard School of Engineering and Applied Sciences (SEAS)

Zhaowei Yuan, Engineering Research Institute, China Energy Engineering Group

Chunrong Cai, Professorate Senior Engineer, Guangdong Electric Power Design Institute, China Energy Engineering Group

Session 4: Carbon Capture, Utilization, and Storage (CCUS) Technologies

Chairs

Prof. Xi Liang, University College London

Haizhou Lin, Senior Engineer, Guangdong Electric Power Design Institute, China Energy Engineering Group

Session 5: New Energy and Electrical Engineering

Chair

Prof. Hui Hou, School of Automation, Wuhan University of Technology

Session 6: Marine Energy and Offshore Ranching

Chair

Donghua Liu, Assistant Chief Engineer, Guangdong Electric Power Design Institute, China Energy Engineering Group

Session 7: New Power Systems and Efficient Utilization of Clean Energy