Ensuring DNN Solution Feasibility for Optimization Problems with Convex Constraints and Its Application to DC Optimal Power Flow Problems

15 December 2021

Papers citing "Ensuring DNN Solution Feasibility for Optimization Problems with Convex Constraints and Its Application to DC Optimal Power Flow Problems"

4 / 4 papers shown

Title
End-to-End Feasible Optimization Proxies for Large-Scale Economic Dispatch Wenbo Chen Mathieu Tanneau Pascal Van Hentenryck 28 29 0 23 Apr 2023
Model-Based Deep Learning: On the Intersection of Deep Learning and Optimization Nir Shlezinger Yonina C. Eldar Stephen P. Boyd 30 130 0 05 May 2022
Learning Neural Networks under Input-Output Specifications Z. Abdeen He Yin V. Kekatos Ming Jin 21 8 0 23 Feb 2022
Predicting AC Optimal Power Flows: Combining Deep Learning and Lagrangian Dual Methods Ferdinando Fioretto Terrence W.K. Mak Pascal Van Hentenryck AI4CE 81 199 0 19 Sep 2019