2 papers
cs.LG2026
Newton's Lantern: A Reinforcement Learning Framework for Finetuning AC Power Flow Warm Start Models
Shourya Bose, Helgi Hilmarsson, Dhruv Suri
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 h…
cs.LG2026
WARP: A Benchmark for Primal-Dual Warm-Starting of Interior-Point Solvers
Dhruv Suri, Helgi Hilmarsson, Shourya Bose
Solving AC Optimal Power Flow (AC-OPF) is of central importance in electricity market operations, where interior-point methods (IPMs) such as IPOPT are the standard solvers. A grow…