2 papers
cs.LG2022
DeepOPF-AL: Augmented Learning for Solving AC-OPF Problems with Multiple Load-Solution Mappings
Xiang Pan, Wanjun Huang, Minghua Chen +1
The existence of multiple load-solution mappings of non-convex AC-OPF problems poses a fundamental challenge to deep neural network (DNN) schemes. As the training dataset may conta…
cs.LG2022
Learning-based AC-OPF Solvers on Realistic Network and Realistic Loads
Tsun Ho Aaron Cheung, Min Zhou, Minghua Chen
Deep learning approaches for the Alternating Current-Optimal Power Flow (AC-OPF) problem are under active research in recent years. A common shortcoming in this area of research is…