Online multi-agent reinforcement learning for decentralized inverter-based volt-var control H Liu, W Wu IEEE Transactions on Smart Grid 12 (4), 2980-2990, 2021 | 132 | 2021 |
Two-stage deep reinforcement learning for inverter-based volt-var control in active distribution networks H Liu, W Wu IEEE Transactions on Smart Grid 12 (3), 2037-2047, 2020 | 132 | 2020 |
Federated reinforcement learning for decentralized voltage control in distribution networks H Liu, W Wu IEEE Transactions on Smart Grid 13 (5), 3840-3843, 2022 | 64 | 2022 |
Bi-level off-policy reinforcement learning for two-timescale Volt/VAR control in active distribution networks H Liu, W Wu, Y Wang IEEE Transactions on Power Systems 38 (1), 385-395, 2022 | 37 | 2022 |
Exploiting the flexibility inside park-level commercial buildings considering heat transfer time delay: A memory-augmented deep reinforcement learning approach H Zhao, B Wang, H Liu, H Sun, Z Pan, Q Guo IEEE Transactions on Sustainable Energy 13 (1), 207-219, 2021 | 28 | 2021 |
Model-free voltage control for inverter-based energy resources: Algorithm, simulation and field test verification H Liu, W Wu, A Bose IEEE Transactions on Energy Conversion 36 (2), 1207-1215, 2020 | 9 | 2020 |
Data-driven wind farm Volt/Var control based on deep reinforcement learning B Zhang, H Liu, G Zhuang, L Liu, W Wu 2020 IEEE 4th Conference on Energy Internet and Energy System Integration …, 2020 | 8 | 2020 |
Bi-level off-policy reinforcement learning for volt/var control involving continuous and discrete devices H Liu, W Wu arXiv preprint arXiv:2104.05902, 2021 | 7 | 2021 |
Reinforcement Learning with Enhanced Safety for Optimal Dispatch of Distributed Energy Resources in Active Distribution Networks X Yang, H Liu, W Wu, Q Wang, P Yu, J Xing, Y Wang Journal of Modern Power Systems and Clean Energy, 2024 | 5 | 2024 |
Two-Critic Deep Reinforcement Learning for Inverter-based Volt-Var Control in Active Distribution Networks Q Liu, Y Guo, L Deng, H Liu, D Li, H Sun, W Huang IEEE Transactions on Sustainable Energy, 2024 | 5 | 2024 |
Attention-Enhanced Multi-Agent Reinforcement Learning Against Observation Perturbations for Distributed Volt-VAR Control X Yang, H Liu, W Wu IEEE Transactions on Smart Grid, 2024 | 4 | 2024 |
Reducing learning difficulties: One-step two-critic deep reinforcement learning for inverter-based Volt-Var control Q Liu, Y Guo, L Deng, H Liu, D Li, H Sun, W Huang arXiv preprint arXiv:2203.16289, 2022 | 4 | 2022 |
Coordinated real-time power dispatch for integrated transmission and distribution networks based on model-based optimization and deep reinforcement learning X Yang, Y Sun, W Wu, H Liu, Y Wang Energy Reports 9, 1011-1020, 2023 | 2 | 2023 |
Active and reactive power coordinated control of active distribution networks based on prioritized reinforcement learning X Wang, H Liu, X Cao, W Wu, S Li, X Jia 2021 Power System and Green Energy Conference (PSGEC), 91-96, 2021 | 2 | 2021 |
Reducing Action Space: Reference-Model-Assisted Deep Reinforcement Learning for Inverter-based Volt-Var Control Q Liu, Y Guo, L Deng, H Liu, D Li, H Sun arXiv preprint arXiv:2210.07360, 2022 | 1 | 2022 |
One-Step Two-Critic Deep Reinforcement Learning for Inverter-based Volt-Var Control in Active Distribution Networks. Q Liu, Y Guo, L Deng, H Liu, D Li, H Sun, W Huang arXiv preprint arXiv:2203.16289, 2022 | 1 | 2022 |
A Two-stage Optimal Scheduling Approach for Networked Distributed Energy Resources in Power Distribution Systems H Liu, C Zheng, Y Leng, Z Lin, J Chen, J Zhang, L Che EMIE 2022; The 2nd International Conference on Electronic Materials and …, 2022 | | 2022 |
Direct Thermal Load Control in Active Distribution Networks Based on Deep Reinforcement Learning Z Chen, H Liu, W Wu, Y Li, J Jing, T Da 2021 IEEE 5th Conference on Energy Internet and Energy System Integration …, 2021 | | 2021 |
Critical nodes identification based on comprehensive topological importance in complex networks P Li, L Xie, Y Wu, H Liu, Y Wang, J Zhou, X Wu, L Qiao, Q An, S Yang Proceedings of the 2021 2nd International Conference on Computing, Networks …, 2021 | | 2021 |