51 citations · 101 across the 6 of their papers we have counts for
3 papers · 1 filter
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…
Controlling Commercial Cooling Systems Using Reinforcement Learning
Jerry Luo, Cosmin Paduraru, Octavian Voicu +33
This paper is a technical overview of DeepMind and Google's recent work on reinforcement learning for controlling commercial cooling systems. Building on expertise that began with…