Grid Small Foundation Model (GridSFM) is a foundation model for power systems trained on 200 grids and over half a million scenarios. It predicts AC-OPF solutions in milliseconds: given a grid topology and loading conditions, it produces bus voltages, generator dispatch, branch power flows, and a feasibility classification without running a solver, and when higher confidence is needed its predictions serve as warm starts that accelerate conventional solvers. GridSFM is released in two tiers, GridSFM-Open (\u223c15M parameters, for grids up to a few thousand buses, research and prototyping) and GridSFM-Premier (\u223c100M parameters, for production scale grids up to tens of thousands of buses), both sharing the same architecture and trained on a broad open-data corpus of transmission topologies and operating scenarios spanning feasible and infeasible regimes via a multi-axis perturbation pipeline. Code is available at https:\/\/github.com\/microsoft\/GridSFM, and released checkpoints are hosted in the Hugging Face collection at https:\/\/huggingface.co\/collections\/microsoft\/gridsfm.<\/p>\n","protected":false},"excerpt":{"rendered":"
Grid Small Foundation Model (GridSFM) is a foundation model for power systems trained on 200 grids and over half a million scenarios. It predicts AC-OPF solutions in milliseconds: given a grid topology and loading conditions, it produces bus voltages, generator dispatch, branch power flows, and a feasibility classification without running a solver, and when higher 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