72 citations · 73 across the 3 of their papers we have counts for
3 papers
Toward More Accurate and Robust Optimal Power Flow for Distribution Systems
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 con…
A Chance-Constrained Optimal Design of Volt/VAR Control Rules for Distributed Energy Resources
Jinlei Wei, Sarthak Gupta, Dionysios C. Aliprantis +1
Deciding setpoints for distributed energy resources (DERs) via local control rules rather than centralized optimization offers significant autonomy. The IEEE Standard 1547 recommen…
Physics-informed neural networks for solving parametric magnetostatic problems
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…