6 citations · 12 across the 3 of their papers we have counts for
3 papers
OPFData: Large-scale datasets for AC optimal power flow with topological perturbations
Sean Lovett, Miha Zgubic, Sofia Liguori +6
Solving the AC optimal power flow problem (AC-OPF) is critical to the efficient and safe planning and operation of power grids. Small efficiency improvements in this domain have th…
CANOS: A Fast and Scalable Neural AC-OPF Solver Robust To N-1 Perturbations
Luis Piloto, Sofia Liguori, Sephora Madjiheurem +6
Optimal Power Flow (OPF) refers to a wide range of related optimization problems with the goal of operating power systems efficiently and securely. In the simplest setting, OPF det…
Semi-analytical Industrial Cooling System Model for Reinforcement Learning
Yuri Chervonyi, Praneet Dutta, Piotr Trochim +9
We present a hybrid industrial cooling system model that embeds analytical solutions within a multi-physics simulation. This model is designed for reinforcement learning (RL) appli…