Newton’s Lantern: A Reinforcement Learning Framework for Finetuning AC Power Flow Warm Start Models
arXiv:2605.11102v1 Announce Type: new
Abstract: Neural warm starts can sharply reduce the number of Newton-Raphson iterations required to solve the AC power flow problem, but existing supervised approaches generalize poorly on heavily loaded instances…