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20192022
most citedDeepOPF: A Deep Neural Network Approach for Security-Constrained DC Optimal Power Flow

30 citations · 79 across the 8 of their papers we have counts for

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eess.SY2019★ 30 cited

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

Xiang Pan, Tianyu Zhao, Minghua Chen +1

We develop DeepOPF as a Deep Neural Network (DNN) approach for solving security-constrained direct current optimal power flow (SC-DCOPF) problems, which are critical for reliable a…

eess.SY2019★ 4 cited

DeepOPF: Deep Neural Network for DC Optimal Power Flow

Xiang Pan, Tianyu Zhao, Minghua Chen

We develop DeepOPF as a Deep Neural Network (DNN) approach for solving direct current optimal power flow (DC-OPF) problems. DeepOPF is inspired by the observation that solving DC-O…