Deepopf: A deep neural network approach for security-constrained dc optimal power flow X Pan, T Zhao, M Chen, S Zhang IEEE Transactions on Power Systems (arXiv version in Oct. 2019) 36 (3), 1725 …, 2020 | 143 | 2020 |
DeepOPF: deep neural networks for optimal power flow X Pan, T Zhao, M Chen IEEE SmartGridComm 2019 (arXiv version posted in May 2019), 2019 | 105 | 2019 |
DeepOPF: A feasibility-optimized deep neural network approach for AC optimal power flow problems X Pan, M Chen, T Zhao, SH Low IEEE Systems Journal 17 (1), 673-683, 2022 | 94 | 2022 |
DeepOPF+: A deep neural network approach for DC optimal power flow for ensuring feasibility T Zhao, X Pan, M Chen, A Venzke, SH Low 2020 IEEE International Conference on Communications, Control, and Computing …, 2020 | 36 | 2020 |
Forecast competition in energy imbalance market J Cui, N Gu, T Zhao, C Wu, M Chen IEEE Transactions on Power Systems 37 (3), 2397-2413, 2021 | 12 | 2021 |
Ensuring DNN solution feasibility for optimization problems with convex constraints and its application to DC optimal power flow problems T Zhao, X Pan, M Chen, SH Low arXiv preprint arXiv:2112.08091, 2021 | 11 | 2021 |
Efficient and robust equilibrium strategies of utilities in day-ahead market with load uncertainty T Zhao, H Yi, M Chen, C Wu, Y Xu IEEE Systems Journal 16 (4), 5246-5257, 2022 | 8 | 2022 |
Ensuring DNN Solution Feasibility for Optimization Problems with Linear Constraints T Zhao, X Pan, M Chen, S Low The Eleventh International Conference on Learning Representations (ICLR …, 2023 | 4 | 2023 |
Optimizing Demand Response in Distribution Network with Grid Operational Constraints T Zhao, M Zhou, Y Mo, JM Wang, J Luo, X Pan, M Chen Proceedings of the 14th ACM International Conference on Future Energy …, 2023 | | 2023 |
Day-ahead Electricity Market Equilibrium with Load Uncertainty and Preventive Learning for Ensuring DNN Solution Feasibility with Application to DC Optimal Power Flow Problems T Zhao PQDT-Global, 2022 | | 2022 |