8 citations · 10 across the 2 of their papers we have counts for
4 papers
DeepOPF-V: Solving AC-OPF Problems Efficiently
Wanjun Huang, Xiang Pan, Minghua Chen +1
AC optimal power flow (AC-OPF) problems need to be solved more frequently in the future to maintain stable and economic power system operation. To tackle this challenge, a deep neu…
DeepOPF+: A Deep Neural Network Approach for DC Optimal Power Flow for Ensuring Feasibility
Tianyu Zhao, Xiang Pan, Minghua Chen +2
Deep Neural Networks (DNNs) approaches for the Optimal Power Flow (OPF) problem received considerable attention recently. A key challenge of these approaches lies in ensuring the f…
Multi-Granularity Modularized Network for Abstract Visual Reasoning
Xiangru Tang, Haoyuan Wang, Xiang Pan +1
Abstract visual reasoning connects mental abilities to the physical world, which is a crucial factor in cognitive development. Most toddlers display sensitivity to this skill, but…
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…