Tianyu Zhao

According to our database, Tianyu Zhao authored at least 8 papers between 2019 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

DeepOPF: A Feasibility-Optimized Deep Neural Network Approach for AC Optimal Power Flow Problems.

Xiang Pan, Minghua Chen, Tianyu Zhao, Steven H. Low

IEEE Syst. J., March, 2023

Ensuring DNN Solution Feasibility for Optimization Problems with Linear Constraints.

Tianyu Zhao, Xiang Pan, Minghua Chen, Steven H. Low

Proceedings of the Eleventh International Conference on Learning Representations, 2023

Optimizing Demand Response in Distribution Network with Grid Operational Constraints.

Tianyu Zhao, Min Zhou, Yanfang Mo, Jason Min Wang, Jun Luo, Xiang Pan, Minghua Chen

Proceedings of the 14th ACM International Conference on Future Energy Systems, 2023

2022

Efficient and Robust Equilibrium Strategies of Utilities in Day-Ahead Market With Load Uncertainty.

Tianyu Zhao, Hanling Yi, Minghua Chen, Chenye Wu, Yunjian Xu

IEEE Syst. J., 2022

2021

Ensuring DNN Solution Feasibility for Optimization Problems with Convex Constraints and Its Application to DC Optimal Power Flow Problems.

Tianyu Zhao, Xiang Pan, Minghua Chen, Steven H. Low

CoRR, 2021

2020

DeepOPF+: A Deep Neural Network Approach for DC Optimal Power Flow for Ensuring Feasibility.

Tianyu Zhao, Xiang Pan, Minghua Chen, Andreas Venzke, Steven H. Low

Proceedings of the 2020 IEEE International Conference on Communications, 2020

2019

DeepOPF: A Deep Neural Network Approach for Security-Constrained DC Optimal Power Flow.

Xiang Pan, Tianyu Zhao, Minghua Chen

CoRR, 2019

DeepOPF: Deep Neural Network for DC Optimal Power Flow.

Xiang Pan, Tianyu Zhao, Minghua Chen

Proceedings of the 2019 IEEE International Conference on Communications, 2019