| Physics-informed graphical representation-enabled deep reinforcement learning for robust distribution system voltage control D Cao, J Zhao, J Hu, Y Pei, Q Huang, Z Chen, W Hu IEEE Transactions on Smart Grid, 2023 | 19 | 2023 |
| Multi-task reinforcement learning for distribution system voltage control with topology changes Y Pei, J Zhao, Y Yao, F Ding IEEE Transactions on Smart Grid, 2023 | 11 | 2023 |
| Probabilistic physics-informed graph convolutional network for active distribution system voltage prediction T Su, J Zhao, Y Pei, F Ding IEEE Transactions on Power Systems, 2023 | 3 | 2023 |
| Multi-agent deep reinforcement learning for realistic distribution system voltage control using pv inverters Y Pei, Y Yao, J Zhao, F Ding, J Wang 2022 IEEE Power & Energy Society General Meeting (PESGM), 1-5, 2022 | 2 | 2022 |
| Data-driven distribution system coordinated PV inverter control using deep reinforcement learning Y Pei, Y Yao, J Zhao, F Ding, K Ye 2021 IEEE Sustainable Power and Energy Conference (iSPEC), 781-786, 2021 | 2 | 2021 |
| Two-Stage Deep Reinforcement Learning for Distribution System Voltage Regulation and Peak Demand Management Y Pei, Y Yao, J Zhao, F Ding, J Wang 2023 IEEE Power & Energy Society General Meeting (PESGM), 1-5, 2023 | | 2023 |
| Multi-Fidelity Learning for Distribution System Voltage Probabilistic Analysis with High Penetration of PVs K Ye, Y Pei, J Zhao, Y Yao, J Wang, F Ding 2022 IEEE Power & Energy Society General Meeting (PESGM), 1-5, 2022 | | 2022 |
