[HTML][HTML] Physics-informed neural networks for ac optimal power flow

R Nellikkath, S Chatzivasileiadis - Electric Power Systems Research, 2022 - Elsevier
This paper introduces, for the first time to our knowledge, physics-informed neural networks
to accurately estimate the AC-Optimal Power Flow (AC-OPF) result and delivers rigorous …

Physics-Informed Neural Networks for AC Optimal Power Flow

R Nellikkath, S Chatzivasileiadis - arXiv preprint arXiv:2110.02672, 2021 - arxiv.org
This paper introduces, for the first time to our knowledge, physics-informed neural networks
to accurately estimate the AC-OPF result and delivers rigorous guarantees about their …

Physics-Informed Neural Networks for AC Optimal Power Flow

R Nellikkath, S Chatzivasileiadis - Electric Power Systems Research, 2022 - orbit.dtu.dk
This paper introduces, for the first time to our knowledge, physics-informed neural networks
to accurately estimate the AC-Optimal Power Flow (AC-OPF) result and delivers rigorous …

Physics-Informed Neural Networks for AC Optimal Power Flow

R Nellikkath… - Electric Power Systems …, 2022 - ui.adsabs.harvard.edu
This paper introduces, for the first time to our knowledge, physics-informed neural networks
to accurately estimate the AC-Optimal Power Flow (AC-OPF) result and delivers rigorous …

Physics-Informed Neural Networks for AC Optimal Power Flow

R Nellikkath, S Chatzivasileiadis - arXiv e-prints, 2021 - ui.adsabs.harvard.edu
This paper introduces, for the first time to our knowledge, physics-informed neural networks
to accurately estimate the AC-OPF result and delivers rigorous guarantees about their …