Special Session 7

Topics (Including but not limited to)

• Exploration and Efficiency Improvement of Artificial Intelligence Technology in Renewable Energy Hydrogen Production
  人工智能技术在可再生能源制氢中的应用探索与效能提升
• Research on the Mechanism Affecting the Energy Utilization Efficiency of Hybrid Hydrogen Production Systems and Intelligent Dispatch Strategies
  混联制氢系统电能利用率的影响机理及智能调度策略研究
• Analysis of Cost Bottlenecks in Renewable Energy Hydrogen Production and Research on Breakthrough Pathways
  可再生能源制氢的成本瓶颈解析与突破路径研究
• Optimized Forecasting & Scheduling Approaches in Generation-Grid-Storage Systems
  “源-网-储”中的预测与调度优化策略
• Fault Prediction and Diagnosis in Renewable Energy Generation and Energy Storage
  可再生能源发电和储能中的故障预测与诊断
• Advanced Sensing and Functional Materials for Smart Grids and Renewable Energy Systems
  智能电网与新能源系统的先进感知与功能材料

Chair: Assoc. Prof. Jingxuan Zhang, North China University of Science and Technology, China

Jingxuan Zhang is an assistant professor in power electronics area with the College of Electrical Engineering, North China University of Science and Technology, Tangshan, China. He received his B.Sc. degree in electrical automation, M.Sc. degree in control science and engineering, and Ph.D. degree in control theory and control engineering all from Hebei University of Technology, Tianjin, China. His research interests include fault diagnosis, PHM and reliability assessment for power electronic in renewable energies, hydrogen energy and energy storage. He has authored more than 40 technical papers. He is a Director of Hydrogen Energy Storage Subcommittee in IEEE PES Energy Storage and Stationary Battery Satellite Committee-China. He is a frequent reviewer of more than 20 journals.

Co-chair: Assoc. Prof. Weichao Dong, Hebei University of Science and Technology, China

Weichao Dong is an associate professor in School of Electrical Engineering, Hebei University of Science and Technology, China. He received the Ph.D. degree in School of Artificial Intelligence, Hebei University of Technology. His research interests include artificial intelligence technology, hydrogen production from renewable energy sources and optimization and design of smart micro grid.

Co-chair: Dr. Peng Guo, Hebei University of Technology, China

Peng Guo received the M.Eng. degree from Hebei University of Science and Technology, Shijiazhuang, Hebei, China, in 2020, and the Ph.D. degree in electrical engineering from Hebei University of Technology, Tianjin, China, in 2025. He is currently a Postdoctoral Researcher at Hebei University of Technology. His research interests include high-precision sensing and fault diagnosis in smart grids, data-driven material modeling, and intelligent equipment design and analysis.