Följ
Tianyu ZHAO
Tianyu ZHAO
Department of Information Engineering, The Chinese University of Hong Kong
Verifierad e-postadress på ie.cuhk.edu.hk
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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
1982020
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
1442022
DeepOPF: deep neural networks for optimal power flow
X Pan, T Zhao, M Chen
IEEE SmartGridComm 2019 (arXiv version posted in May 2019), 2019
1322019
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
412020
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
182021
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
142021
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
112023
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
92022
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
22023
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
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