| Mobility-aware charging scheduling for shared on-demand electric vehicle fleet using deep reinforcement learning Y Liang, Z Ding, T Ding, WJ Lee IEEE Transactions on Smart Grid 12 (2), 1380-1393, 2020 | 117 | 2020 |
| Agent-based modeling in electricity market using deep deterministic policy gradient algorithm Y Liang, C Guo, Z Ding, H Hua IEEE transactions on power systems 35 (6), 4180-4192, 2020 | 108 | 2020 |
| Deep reinforcement learning-based charging pricing for autonomous mobility-on-demand system Y Lu, Y Liang, Z Ding, Q Wu, T Ding, WJ Lee IEEE Transactions on Smart Grid 13 (2), 1412-1426, 2021 | 52 | 2021 |
| Virtual power plant containing electric vehicles scheduling strategies based on deep reinforcement learning J Wang, C Guo, C Yu, Y Liang Electric power systems research 205, 107714, 2022 | 45 | 2022 |
| Real-time operation management for battery swapping-charging system via multi-agent deep reinforcement learning Y Liang, Z Ding, T Zhao, WJ Lee IEEE Transactions on Smart Grid 14 (1), 559-571, 2022 | 41 | 2022 |
| Optimal planning of charging station based on discrete distribution of charging demand Y Liang, C Guo, J Yang, Z Ding IET Generation, Transmission & Distribution 14 (6), 965-974, 2020 | 15 | 2020 |
| A multiagent reinforcement learning approach for wind farm frequency control Y Liang, X Zhao, L Sun IEEE Transactions on Industrial Informatics 19 (2), 1725-1734, 2022 | 12 | 2022 |
| Reinforcement learning-based inertia and droop control for wind farm frequency regulation Y Liang, L Sun, X Zhao 2022 IEEE Power & Energy Society General Meeting (PESGM), 1-5, 2022 | 3 | 2022 |
| Adaptive inter-area power oscillation damping from offshore wind farm and MMC-HVDC using deep reinforcement learning Z Zhang, Y Liang, X Zhao Renewable Energy, 120164, 2024 | | 2024 |
