I received M.Phil. degree in Data Science and Information Technology at Tsinghua University, supervised by tenured Asso. Prof. Yinliang Xu. Meanwhile, I’m a member of Energy Management System Laboratory led by Prof. Hongbin Sun (IEEE Fellow, Academician of the Chinese Academy of Sciences), Department of Electrical Engineering, Tsinghua University. Before that, I received my B.Sc. degree in Mathematics and Applied Mathematics at South China University of Technology. Now, I am pursuing a Ph.D. in Electrical and Electronic Engineering at Nanyang Technological University in Singapore, supervised by Prof. Yan Xu, who was under the supervision of Prof. Zhaoyang Dong (IEEE Fellow).

My research interests include time series probability prediction methods in power systems and optimization theory, optimal operation control and robust optimization of microgrids, as well as the application of AI/LLM in power systems and integrated energy systems. For more about my research and publications, check out my Google Scholar.

Education Background

2026.01 - Now Ph.D. in Electrical Engineering, Nanyang Technological University Singapore
2022.09 - 2025.06 M.Phil. in Data Science and Information Technology, Tsinghua University
2018.09 - 2022.06 B.Sc. in Mathematics, South China University of Technology

Academic Experience

2026.04 - Now Nanyang Technological University in Singapore, Research Associate
2025.07 - 2025.12 China-Singapore International Joint Research Institute, Research Assistant

Professional Service

Peer Reviewer

Solar Energy
Applied Energy
IEEE Access
IEEE Transactions on Smart Grid
CSEE Journal of Power and Energy Systems

News

2026.01 I have officially enrolled at Nanyang Technological University to pursue a PhD degree. A brand new journey!
2025.07 I was graduated from Tsinghua University!🎓
2024.11 Our paper (as the collaborator) entitled “Generative learning assisted state-of-health estimation for sustainable battery recycling with random retirement conditions” was accepted by Nature Communications.📄
2024.10 I was honored to receive the Scholarship of Tsinghua University (Top 10%).🎖️
2024.10 Our paper (as the first author) entitled “Feature-enhanced deep learning method for electric vehicle charging demand probabilistic forecasting of charging station” was accepted by Applied Energy.📄
2024.06 Our paper (as the collaborator) entitled “Binary multi-frequency signal for accurate and rapid electrochemical impedance spectroscopy acquisition in lithium-ion batteries” was accepted by Applied Energy.📄