| Real-time robust forecasting-aided state estimation of power system based on data-driven models X Ji, Z Yin, Y Zhang, M Wang, X Zhang, C Zhang, D Wang International Journal of Electrical Power & Energy Systems 125, 106412, 2021 | 64 | 2021 |
| Real-time autonomous dynamic reconfiguration based on deep learning algorithm for distribution network X Ji, Z Yin, Y Zhang, B Xu Electric Power Systems Research 195, 107132, 2021 | 37 | 2021 |
| Data‐driven approach for real‐time distribution network reconfiguration Z Yin, X Ji, Y Zhang, Q Liu, X Bai IET Generation, Transmission & Distribution 14 (13), 2450-2463, 2020 | 36 | 2020 |
| Sequential reconfiguration of unbalanced distribution network with soft open points based on deep reinforcement learning Z Yin, S Wang, Q Zhao Journal of Modern Power Systems and Clean Energy 11 (1), 107-119, 2022 | 28 | 2022 |
| Distributional two-level synergetic unit commitment considering three scheduling states Y Zhang, X Zhang, X Ji, M Yang, X Han, Z Yin Electric Power Systems Research 213, 108771, 2022 | 6 | 2022 |
| Three-phase symmetric distribution network fast dynamic reconfiguration based on timing-constrained hierarchical clustering algorithm X Ji, X Zhang, Y Zhang, Z Yin, M Yang, X Han Symmetry 13 (8), 1479, 2021 | 6 | 2021 |
| Temperature-dependent resistance constrained PV accommodation capacity improvement based on Multi-objective DRL Z Yin, S Wang, Q Zhao, M Cui IEEE Transactions on Sustainable Energy, 2024 | 2 | 2024 |
| Dynamic Evaluation of PV Hosting Capacity for Distribution Network based on Deep Reinforcement Learning Z Yin, S Wang, Q Zhao, Z Han 2023 IEEE Power & Energy Society General Meeting (PESGM), 1-5, 2023 | | 2023 |
Mingjian Cui (M. Cui, 崔明建)Professor at Tianjin University; SMIEEEVerificeret mail på ieee.org