GENCO Solves Power Flow, OPF, and State Estimation in One Neural Architecture — 30x Faster Than Newton-Raphson, 85x Faster Than IPOPT

arXiv 2608.09921·medium signalXBlueskyLinkedInCopy link

Posted 2026-08-10, GENCO (GEometric Neural Corrective Optimizer) is a unified neural solver handling power flow, optimal power flow, and state estimation in a single architecture with a shared network representation — a rare case of a foundation-model approach entering an engineering domain with hard physical-consistency constraints. On PFDelta and OPFData plus real Hydro-Québec SCADA data, it recovers the full AC operating state including voltage magnitude and reactive power that DC-PF cannot provide, at up to 30x Newton-Raphson speedup and only 2x DC-PF runtime; OPF reaches up to 85x over IPOPT with better feasibility. The open-source GridFM Development Framework and million-scenario datasets ship with it.