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06/07/2022
DeepOPF-AL: Augmented Learning for Solving AC-OPF Problems with Multiple Load-Solution Mappings
The existence of multiple load-solution mappings of non-convex AC-OPF pr...
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03/09/2022
An Energy Sharing Mechanism Considering Network Constraints and Market Power Limitation
As the number of prosumers with distributed energy resources (DERs) grow...
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12/15/2021
Ensuring DNN Solution Feasibility for Optimization Problems with Convex Constraints and Its Application to DC Optimal Power Flow Problems
Ensuring solution feasibility is a key challenge in developing Deep Neur...
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03/22/2021
DeepOPF-V: Solving AC-OPF Problems Efficiently
AC optimal power flow (AC-OPF) problems need to be solved more frequentl...
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07/02/2020
DeepOPF: A Feasibility-Optimized Deep Neural Network Approach for AC Optimal Power Flow Problems
The AC-OPF problem is the key and challenging problem in the power syste...
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09/12/2019
Learning Graphs from Linear Measurements: Fundamental Trade-offs and Applications
We consider a specific graph learning task: reconstructing a symmetric m...
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03/27/2019