no code implementations • 9 Oct 2023 • Dakota Hamilton, Loraine Navarro, Dionysios Aliprantis
The objective of this paper is to improve the accuracy and robustness of optimal power flow (OPF) formulations for distribution systems modeled down to the low-voltage point of connection of individual buildings.
no code implementations • 8 Feb 2022 • Andrés Beltrán-Pulido, Ilias Bilionis, Dionysios Aliprantis
The objective of this paper is to investigate the ability of physics-informed neural networks to learn the magnetic field response as a function of design parameters in the context of a two-dimensional (2-D) magnetostatic problem.
