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FMOPF uses latent flow matching with constraint-aware interaction priors to generate diverse, feasible near-optimal solutions for AC optimal power flow, scaling to hundreds of buses while preserving feasibility.
Microsoft introduces GridSFM, a small foundation model that can predict AC optimal power flow in milliseconds, significantly improving grid efficiency and reducing congestion costs.