| Implications of COVID-19 for the electricity industry: A comprehensive review H Zhong, Z Tan, Y He, L Xie, C Kang CSEE Journal of Power and Energy Systems 6 (3), 489-495, 2020 | 224 | 2020 |
| Review of learning-assisted power system optimization G Ruan, H Zhong, G Zhang, Y He, X Wang, T Pu CSEE Journal of Power and Energy Systems 7 (2), 221-231, 2020 | 66 | 2020 |
| Adaptive look-ahead economic dispatch based on deep reinforcement learning X Wang, H Zhong, G Zhang, G Ruan, Y He, Z Yu Applied Energy 353, 122121, 2024 | 4 | 2024 |
| Evaluation of look-ahead economic dispatch using reinforcement learning Z Yu, G Ruan, X Wang, G Zhang, Y He, H Zhong 2022 IEEE 6th Conference on Energy Internet and Energy System Integration …, 2022 | 2 | 2022 |
| Optimal high‐level control of building HVAC system under variable price framework using partially linear model Y He, H Zhong, Z Tan, J Zhan IET Energy Systems Integration 3 (2), 213-222, 2021 | 1 | 2021 |
| Multi-Area Asynchronous Grid Operation with Frequency Reserve Sharing Y He, H Zhong, G Ruan, B Zhou, S Lu, Y Zhuo IEEE Transactions on Power Systems, 2024 | | 2024 |
| Coordinated Planning of HVDC Terminal and Multi-Time Scale Energy Storage in Multi-Area Hybrid AC/DC Power System M Wang, Y He, Z Yu, H Zhong, B Zhou, S Lu, Y Zhuo 2023 IEEE 7th Conference on Energy Internet and Energy System Integration …, 2023 | | 2023 |
| Look-Ahead AC Optimal Power Flow: A Model-Informed Reinforcement Learning Approach X Wang, H Zhong, G Zhang, G Ruan, Y He, Z Yu 2023 IEEE 6th International Electrical and Energy Conference (CIEEC), 1382-1387, 2023 | | 2023 |
| Demand response strategy for HVAC based on reinforcement learning and imitation learning Y He, H Zhong, G Zhang, G Ruan 2022 Tsinghua-IET Electrical Engineering Academic Forum 2022, 56-60, 2022 | | 2022 |
