Welcome to Ge Chen's personal website!

Welcome to Ge Chen's personal website!

Seng Liang Wang Hall 2085, Purdue University, West Lafayette, 47906, USA

Publications

Publications

Journal Papers

  1. Ge Chen and Junjie Qin, Neural Risk Limiting Dispatch in Power Networks: Formulation and Generalization Guarantee [Link], IEEE Transactions on Power Systems, Early Access, 2025.
  2. Bin Zhou, Ge Chen, Hongcai Zhang, and Yonghua Song, Coordinating Geo-distributed Data Centers for Enhanced Participation in Frequency Regulation Services under Uncertainty, Journal of Modern Power Systems and Clean Energy, Early Access, 2025.
  3. 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.
  4. Yonghua Song, Ge Chen*, and Hongcai 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, 2023.
  5. Ge Chen, Hongcai Zhang, Hongxun Hui, and Yonghua 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, 2022.
  6. Qilin Hou, Ge Chen, Ningyi Dai, and Hongcai Zhang, Distributionally Robust Chance-Constrained Optimization for Soft Open Points Operation in Active Distribution Networks [Link], CSEE Journal of Power and Energy Systems, Early Access, 2022.
  7. Ge Chen, Hongcai Zhang, and Yonghua Song, Adversarial Constraint Learning for Robust Dispatch of Distributed Energy Resources in Distribution Systems [Link], IEEE Transactions on Sustainable Energy, vol. 16, no. 2, pp. 1139–1152, April 2025.
  8. Ge Chen, Junjie Qin, and Hongcai Zhang, 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.
  9. Guangxu Fei, Keng-Weng 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, vol. 15, no. 6, pp. 6005–6017, Nov. 2024.
  10. Ge Chen, Hongcai Zhang, Junjie Qin, and Yonghua 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.
  11. Ge Chen, Hongcai Zhang, and Yonghua 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.
  12. Peipei Yu, Hongcai Zhang, Yonghua Song, Hongxun 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.
  13. Ge Chen, Hongcai Zhang, Hongxun Hui, and Yonghua 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, 2023.
  14. Zhihao Zhang, Ji Zhang, Han Yuan, Ge Chen, and Ning Mei, Performance improvement of the electric water heater by a waste heat recovery method with the thermoelectric effect [Link], Applied Thermal Engineering, 222, 119914, 2023.
  15. Ge Chen, Hongcai Zhang, Hongxun Hui, and Yonghua 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.
  16. 宋永华，张洪财，陈戈, 智慧城市能源系统迈向碳中和的典型路径研究——以澳门特别行政区为例 [Link], 中国科学院院刊, vol. 37(11), 1650–1663, Nov. 2022.
  17. Ge Chen, Biao Yan, Hongcai Zhang, Dongdong Zhang, and Yonghua Song, Time-efficient strategic power dispatch for district cooling systems considering evolution of cooling load uncertainties [Link], CSEE Journal of Power and Energy Systems, vol. 8, no. 5, pp. 1457–1467, Sep. 2022.
  18. Ge Chen, Hongcai Zhang, and Yonghua 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.
  19. Biao Yan, Ge Chen, Hongcai Zhang, and Man Chung Wong, Strategical district cooling system operation with accurate spatiotemporal consumption modeling [Link], Energy and Buildings, 247(11), 111165, Sep. 2021.
  20. Ge Chen, Hongcai Zhang, Hongxun Hui, Ningyi Dai, and Yonghua 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, Sep. 2021.

Conference Papers

  1. 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).
  2. Ge Chen, Hongcai Zhang, and Yonghua 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.
  3. Ge Chen, Hongcai Zhang, Hongxun Hui, Ningyi Dai, and Yonghua 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.
  4. Ge Chen, Biao Yan, Hongcai Zhang, and Yonghua Song, Optimal power dispatch for district cooling system considering cooling water transport delay [Link], 2020 12th IEEE PES Asia‑Pacific Power and Energy Engineering Conference, pp. 1–5, Sep. 2020.