Home Page - Ge Chen
Dr. Ge Chen is an Assistant Professor at Great Bay University, Dongguan, China. Previously, he was a Postdoctoral Research Associate at Purdue ECE, working with Prof. Junjie Qin. He received his Ph.D. in Electric and Computer Engineering in 2023 from the University of Macau under the supervision of Prof. Yonghua Song and Prof. Hongcai Zhang.
His research interests include AI for optimization, power system planning and operation, and transportation electrification. He has authored and coauthored more than 30 journal and conference papers. His recent academic services include serving as Youth Editor of IET Integrated Energy System, guest editor for special issues in IET Smart Grid and Energies, and reviewer for multiple journals and conferences in power and energy systems.
I also maintain arXiv-Daily-Summarizer, a website for automated paper crawling, filtering, and daily research updates.
Contact: gechen@gbu.edu.cn
News
[2026-03-14] Our paper “Monetizing Shared EV Fleets through Demand Charge Reduction Services” is scheduled to appear in IEEE Transactions on Transportation Electrification next week. Cheers!
[2026-03-07] Our paper “Federated Aggregation of Polyhedral Demand Flexibility Sets” is expected to appear in IEEE Transactions on Smart Grid next week. Cheers!
[2025-10-24] Our paper “Electric Vehicles as Virtual Grid Assets: Quantifying Spatiotemporal Charging Flexibility to Accelerate Sustainable Energy Transition” will appear in Cell Reports Physical Science next week. Cheers!
[2025-10-25] Our paper “Neural Risk Limiting Dispatch in Power Networks: Formulation and Generalization Guarantees” will appear in IEEE Transactions on Power Systems next week. Cheers!
[2025-03-25] Our paper “Adversarial constraint learning for robust dispatch of distributed energy resources” will appear in IEEE Transactions on Sustainable Energy next week. Cheers!
[2025-02-22] New publication: Bin Zhou, Ge Chen, Hongcai Zhang, and Yonghua Song, “Coordinating Geo-distributed Data Centers for Enhanced Participation in Frequency Regulation Services under Uncertainty,” to appear in Journal of Modern Power Systems and Clean Energy. Cheers!
[2025-02-22] Our paper “Model-free self-supervised learning for dispatching distributed energy resources” will appear in IEEE Transactions on Smart Grid next week. Cheers!
[2024-09-23] Our paper “Replicating Power Flow Constraints Using Only Smart Meter Data for Coordinating Flexible Sources in Distribution Network” will appear in IEEE Transactions on Sustainable Energy next week. Cheers!
[2024-06-27] I was selected for the Purdue Travel Grant. Thanks!
[2024-06-22] New publication: Guangxu Fei, Keng-Weng Lao, and Ge Chen, “Out-of-Distribution Detection of Unknown False Data Injection Attack With Logit-Normalized Bayesian ResNet,” to appear in IEEE Transactions on Smart Grid. Cheers!
[2024-01-25] Our paper titled “On the Choice of Loss Function in Learning-based Optimal Power Flow” has been accepted by the 2024 IEEE PES General Meeting. Cheers!
[2024-01-09] New publication: Bin Zou, Ge Chen, Hongcai Zhang, and Yonghua Song, “Improved Divergence-based Distributionally Robust Chance-Constrained Scheduling for Geo-distributed Internet Data Centers,” to appear in CSEE Journal of Power and Energy Systems, 2023.
[2023-11-30] New publication: Yonghua Song, Ge Chen*, and Hongcai Zhang, “Constraint learning-based optimal power dispatch for active distribution networks with extremely imbalanced data,” to appear in CSEE Journal of Power and Energy Systems, 2023.
[2023-10-26] I joined Prof. Junjie Qin’s group at Purdue ECE. Cheers!
[2023-06-15] I successfully defended my Ph.D. dissertation. Thanks so much for everyone’s help!