Peipei Yu; Hongcai Zhang; Yonghua Song; Hongxun Hui; Ge Chen |
“District Cooling System Control for Providing Operating Reserve based on Safe Deep Reinforcement Learning” IEEE Transactions on Power Systems ‘pp. 1–14 |
Ge Chen; Hongcai Zhang; Hongxun Hui; Yonghua Song |
“Scheduling HVAC loads to promote renewable generation integration with a learning-based joint chance-constrained approach” CSEE Journal of Power and Energy Systems |
Zhenyi Wang; Peipei Yu; Hongcai Zhang |
“Privacy-Preserving Regulation Capacity Evaluation for HVAC Systems in Heterogeneous Buildings based on Federated Learning and Transfer Learning” IEEE Transactions on Smart Grid pp. 1–15 |
Peipei Yu; Hongcai Zhang; Yonghua Song; Hongxun Hui; Chao Huang |
“Frequency Regulation Capacity Offering of District Cooling System: An Intrinsic-motivated Reinforcement Learning Method” IEEE Transactions on Smart Grid pp. 1–12 |
Ge Chen; Hongcai Zhang; Hongxun Hui; Yonghua Song |
“Deep-quantile-regression-based surrogate model for joint chance-constrained optimal power flow with renewable generation” IEEE Transactions on Sustainable Energy vol. 14, no. 1, pp. 657-672 |
Hongxun Hui; Yulin Chen; Shaohua Yang; Hongcai Zhang; Tao Jiang |
“Coordination control of distributed generators and load resources for frequency restoration in isolated urban microgrids” Applied Energy vol. 327, p. 120116 |
Jiatu Hong; Hongxun Hui; Hongcai Zhang; Ningyi Dai; Yonghua Song |
“Event-Triggered Consensus Control of Large-Scale Inverter Air Conditioners for Demand Response” IEEE Transactions on Power Systems vol. 37, no. 6, pp. 4954-4957 |
Ge Chen; Hongcai Zhang; Hongxun Hui; Yonghua Song |
“Chance-constrained regulation capacity offering for HVAC systems under non-Gaussian uncertainties with mixture-model-based convexification” IEEE Transactions on Smart Grid vol. 13, no. 6, pp. 4379-4391 |