Xuguo Fu’s Personal Website

Biography

Hi! I am a third-year Ph.D. student in the Department of Electrical and Computer Engineering at Stony Brook University. Before that, I received an M.S. degree in Electrical Engineering from Southwest Jiaotong University in 2023. My research focuses on machine learning in power systems, particularly for microgrid modeling, resilience enhancement, and dynamic behavior verification.

News and Updates

• 01/2025 I am honored to be selected as the 2024 Outstanding Reviewer for IEEE Journal of Oceanic Engineering. Grateful for this recognition of my contributions!
• 10/2024 Our paper “Learning-Based, Runtime Reachability Analysis of Microgrid Dynamics” has been accepted by IEEE Transactions on Power Systems.
• 04/2024 I have been invited to serve as a reviewer of Energy Reports.
• 02/2024 Our paper “Learning-Based Uncertain Dynamic Verification of MMC-HVDC Offshore Wind Systems” has been accepted by the 2024 IEEE PES General Meeting.
• 02/2024 Our paper “Stochastic Dynamic Verification of Microgrids” has been accepted by the 2024 IEEE PES General Meeting.
• 02/2024 I have been invited to serve as a reviewer of IEEE Journal of Oceanic Engineering.
• 01/2024 I have been invited to serve as a reviewer of IEEE Transactions on Power Systems.
• 10/2023 I have been invited to serve as a reviewer of IEEE ACCESS.
• 08/2023 I joined the Power Lab at Stony Brook University as a Ph.D. student, advised by Prof. Yifan Zhou.

Publications

• X. Fu, and Y. Zhou, “Learning-Based, Runtime Reachability Analysis of Microgrid Dynamics,” IEEE Transactions on Power Systems, 2024.
• X. Fu, and Y. Zhou, “Learning-Based Uncertain Dynamic Verification of MMC-HVDC Offshore Wind Systems,” in 2024 IEEE Power and Energy Society General Meeting (PESGM), Seattle, WA, 2024.
• X. Fu, G. Lin, and X. Yang, “Parameter identification for current–temperature relationship of contact wire under natural convection”, International Journal of Electrical Power & Energy Systems, vol. 135, pp. 107554, 2022.
• Y. Zhou, and X. Fu, “Stochastic Dynamic Verification of Microgrids,” in 2024 IEEE Power and Energy Society General Meeting (PESGM), Seattle, WA, 2024.
• J. Chen, G. Lin, X. Fu, and Z, Wu. “Improved Scheme of Current Increment Protection Based on Current Characteristics of EMU Load”, Railway Standard Design, vol. 68, no. 7, pp. 1-9. 2024.
• G. Lin, B. Hong, and X. Fu, “Power Supply Arm Protection Scheme of High-speed Railway Based on Wide-area Current Differential”, Railway Engineering Science, vol. 31, no. 1, pp. 281-292, 2023.
• G. Lin, X. Fu, W. Quan, and B. Hong, “Improved fault location method for AT traction power network based on EMU load test”, Railway Engineering Science, vol. 30, no. 4, pp. 532-540, 2022.
• P. Liu, R. Mo, J. Yang, Y. Zhang, X. Fu, and P. Lan, “Medium-to-long term electricity consumption forecasting using deep hybrid neural networks”, in 2019 IEEE 3rd International Electrical and Energy Conference (CIEEC), 2019, pp. 159-164.

Service

• Reviewer
  • IEEE Transactions on Power Systems
  • IEEE Journal of Oceanic Engineering
  • IEEE ACCESS
  • Energy Reports

Award

• Outstanding Reviewer for IEEE Journal of Oceanic Engineering, 2024.
• National Scholarship, 2022.