30 citations · 79 across the 8 of their papers we have counts for
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3 papers · 1 filter
eess.SY2020★ 8 cited
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…
cs.AI2020★ 2 cited
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…
eess.SY2020★ 24 cited
DeepOPF: A Feasibility-Optimized Deep Neural Network Approach for AC Optimal Power Flow Problems
Xiang Pan, Minghua Chen, Tianyu Zhao +1
High percentage penetrations of renewable energy generations introduce significant uncertainty into power systems. It requires grid operators to solve alternative current optimal p…