Publications
Publications
* indicates corresponding author.
Journal Papers
- Ge Chen and Junjie Qin,
Monetizing Shared EV Fleets through Demand Charge Reduction Services [Link],
IEEE Transactions on Transportation Electrification, Early Access, 2026. - Y. Dong, Ge Chen*, and J. Qin,
Federated Aggregation of Polyhedral Demand Flexibility Sets,
IEEE Transactions on Smart Grid, Early Access, 2026. - Ge Chen, N. Shishvan, Z. Guo, and Junjie Qin,
Electric Vehicles as Virtual Grid Assets: Quantifying Spatiotemporal Charging Flexibility to Accelerate Sustainable Energy Transition [Link],
Cell Reports Physical Science, 6(11), 2025. - Ge Chen and Junjie Qin,
Neural Risk Limiting Dispatch in Power Networks: Formulation and Generalization Guarantees [Link],
IEEE Transactions on Power Systems, vol. 40, no. 6, pp. 4466-4479, Nov. 2025. - Ge Chen, H. Zhang, and Y. Song,
Adversarial constraint learning for robust dispatch of distributed energy resources [Link],
IEEE Transactions on Sustainable Energy, vol. 16, no. 2, pp. 1139-1152, April 2025. - Ge Chen, H. Zhang, and J. Qin,
Model-free self-supervised learning for dispatching distributed energy resources [Link],
IEEE Transactions on Smart Grid, vol. 16, no. 2, pp. 1287-1300, March 2025. - Ge Chen, H. Zhang, J. Qin, and Y. Song,
Replicating Power Flow Constraints Using Only Smart Meter Data for Coordinating Flexible Sources in Distribution Network [Link],
IEEE Transactions on Sustainable Energy, vol. 15, no. 4, pp. 2428-2443, Oct. 2024. - G. Fei, K. Lao, and Ge Chen,
Out-of-Distribution Detection of Unknown False Data Injection Attack With Logit-Normalized Bayesian ResNet [Link],
IEEE Transactions on Smart Grid, Early Access, 2024. - B. Zou, Ge Chen, H. Zhang, and Y. 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, 2024. - Ge Chen, H. Zhang, and Y. Song,
Efficient constraint learning for data-driven active distribution network operation [Link],
IEEE Transactions on Power Systems, vol. 39, no. 1, pp. 1472-1484, Jan. 2024. - P. Yu, H. Zhang, Y. Song, H. Hui, and Ge Chen,
District Cooling System Control for Providing Operating Reserve Based on Safe Deep Reinforcement Learning [Link],
IEEE Transactions on Power Systems, vol. 39, no. 1, pp. 40-52, Jan. 2024. - Y. Song, Ge Chen*, and H. Zhang,
Constraint learning-based optimal power dispatch for active distribution networks with extremely imbalanced data [Link],
CSEE Journal of Power and Energy Systems, Early Access. - Ge Chen, H. Zhang, H. Hui, and Y. Song,
Scheduling HVAC loads to promote renewable generation integration with a learning-based joint chance-constrained approach [Link],
CSEE Journal of Power and Energy Systems, Early Access, 2023. - Z. Zhang, J. Zhang, H. Yuan, Ge Chen, and N. Mei,
Performance improvement of the electric water heater by a waste heat recovery method with the thermoelectric effect [Link],
Applied Thermal Engineering, 222 (2023): 119914. - Ge Chen, H. Zhang, H. Hui, and Y. Song,
Deep-quantile-regression-based surrogate model for joint chance-constrained optimal power flow with renewable generation [Link],
IEEE Transactions on Sustainable Energy, vol. 14, no. 1, pp. 657-672, Jan. 2023. - Ge Chen, H. Zhang, H. Hui, and Y. Song,
Chance-constrained regulation capacity offering for HVAC systems under non-Gaussian uncertainties with mixture-model-based convexification [Link],
IEEE Transactions on Smart Grid, vol. 13, no. 6, pp. 4379-4391, Nov. 2022. - Ge Chen, B. Yan, H. Zhang, D. Zhang, and Y. Song,
Time-efficient strategic power dispatch for district cooling systems considering the spatial-temporal evolution of cooling load uncertainties [Link],
CSEE Journal of Power and Energy Systems, vol. 8, no. 5, pp. 1457-1467, Sep. 2022. - Y. Song, H. Zhang, and Ge Chen*,
Typical Pathway to Carbon Neutrality for Urban Smart Energy Systems: Case Study of Macao [Link],
Bulletin of Chinese Academy of Sciences, 37.11 (2022): 1650-1663. (in Chinese) - Q. Hou, Ge Chen, N. Dai, and H. Zhang,
Distributionally Robust Chance-Constrained Optimization for Soft Open Points Operation in Active Distribution Networks [Link],
to appear in CSEE Journal of Power and Energy Systems, 2022. - Ge Chen, H. Zhang, H. Hui, N. Dai, and Y. Song,
Scheduling Thermostatically Controlled Loads to Provide Regulation Capacity Based on a Learning-Based Optimal Power Flow Model [Link],
IEEE Transactions on Sustainable Energy, vol. 12, no. 4, pp. 2459-2470, Oct. 2021. - Ge Chen, H. Zhang, H. Hui, and Y. Song,
Fast Wasserstein-Distance-Based Distributionally Robust Chance-Constrained Power Dispatch for Multi-Zone HVAC Systems [Link],
IEEE Transactions on Smart Grid, vol. 12, no. 5, pp. 4016-4028, Sept. 2021. - B. Yan, Ge Chen, H. Zhang, and M. C. Wong,
Strategical district cooling system operation with accurate spatio-temporal consumption modeling [Link],
Energy and Buildings, 247 (2021): 111165.
Conference Papers
- Ge Chen and Junjie Qin,
On the Choice of Loss Function in Learning-based Optimal Power Flow [Link],
2024 IEEE Power & Energy Society General Meeting (PESGM), 2024. - B. Hu, W. Tang, W. Du, Z. Ou, and Ge Chen*,
Learning-based strategic operation of district cooling systems with ice storage systems,
2022 International Conference on Frontiers of Energy and Environment Engineering (CFEEE), 2022. - Ge Chen, H. Zhang, H. Hui, and Y. Song,
Chance-constrained DC Optimal Power Flow with Non-Gaussian Distributed Uncertainties [Link],
2022 IEEE Power & Energy Society General Meeting (PESGM), pp. 1-5, 2022. - Ge Chen, H. Zhang, N. Dai, and Y. Song,
Topology-free optimal power dispatch for distribution network considering security constraints and flexible building thermal inertia [Link],
2021 IEEE Power & Energy Society General Meeting (PESGM), pp. 1-5, 2021. - Ge Chen, B. Yan, H. Zhang, and Y. Song,
Optimal power dispatch for district cooling system considering cooling water transport delay [Link],
2020 IEEE PES Asia-Pacific Power and Energy Engineering Conference (APPEEC), pp. 1-5, 2020.