research
∙
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...
share
research
∙
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...
research
∙
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...
research
∙
03/22/2021
DeepOPF-V: Solving AC-OPF Problems Efficiently
AC optimal power flow (AC-OPF) problems need to be solved more frequentl...
research
∙
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...
research
∙
09/12/2019
Learning Graphs from Linear Measurements: Fundamental Trade-offs and Applications
We consider a specific graph learning task: reconstructing a symmetric m...
research
∙
03/27/2019
