CANOS: A Fast and Scalable Neural AC-OPF Solver Robust To N-1 Perturbations

26 March 2024

Papers citing "CANOS: A Fast and Scalable Neural AC-OPF Solver Robust To N-1 Perturbations"

8 / 8 papers shown

Title
Differentiable Optimization for Deep Learning-Enhanced DC Approximation of AC Optimal Power Flow Andrew Rosemberg Michael Klamkin AI4CE 36 0 0 22 Mar 2025
Accelerating Quasi-Static Time Series Simulations with Foundation Models Alban Puech François Mirallès Jonas Weiss Vincent Mai Alexandre Blondin Massé M. D. Montigny Thomas Brunschwiler Hendrik F. Hamann 36 0 0 13 Nov 2024
Physics-Informed GNN for non-linear constrained optimization: PINCO a solver for the AC-optimal power flow Anna Varbella Damien Briens B. Gjorgiev Giuseppe Alessio DÍnverno G. Sansavini 28 0 0 07 Oct 2024
Generative Edge Detection with Stable Diffusion Caixia Zhou Yaping Huang Mochu Xiang Jiahui Ren Haibin Ling Jing Zhang 59 0 0 04 Oct 2024
OPFData: Large-scale datasets for AC optimal power flow with topological perturbations Sean Lovett M. Zgubič Sofia Liguori Sephora Madjiheurem Hamish Tomlinson Sophie Elster Chris Apps Sims Witherspoon Luis Piloto AI4CE 30 6 0 11 Jun 2024
Topology-aware Graph Neural Networks for Learning Feasible and Adaptive ac-OPF Solutions Shaohui Liu Chengyang Wu Hao Zhu 35 47 0 16 May 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
Interaction Networks for Learning about Objects, Relations and Physics Peter W. Battaglia Razvan Pascanu Matthew Lai Danilo Jimenez Rezende Koray Kavukcuoglu AI4CE OCL PINN GNN 280 1,401 0 01 Dec 2016