Dr. Yan Rudai

Position: Research Fellow, School of Electrical and Electronic Engineering

Office: SP Group-NTU Joint Lab, EEE, NTU

Dr. Yan received his B.E. degrees from Xi'an Jiaotong University (XJTU), China, in 2019, and PhD degree from Nanyang Technological University (NTU), Singapore, in 2023, all in electrical engineering. He is now a Research Fellow at School of Electrical and Electronic Engineering in NTU. His research interests include distributed control and optimization in microgrids, and data analytics in the control and operation of power systems.

Research Areas:

• Artificial Intelligence: Deep Reinforcement Learning, Deep Learning, Graph Learning, Generative AI, Large Language Model
• Electrical Engineering: Power System Control & Operation, Optimization, Data-Driven, Renewable Energy, Electricity Market, Energy Management, Energy Storage

Journal Reviewer:

• IEEE Transactions on Power Systems
• IEEE Transactions on Smart Grid
• IEEE Transactions on Sustainable Energy
• IEEE PES Letters
• IEEE Transactions on Power Delivery
• IEEE Transactions on Industrial Informatics
• IEEE Open Access Journal of Power and Energy
• IET Generation, Transmission & Distribution
• IET Renewable Power Generation
• IET Energy Conversion and Economics
• International Journal of Electical Power & Energy Systems
• Applied Energy
• Journal of Modern Power Systems and Clean Energy
• CSEE Journal of Power and Energy Systems