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From Open Data To Foundation Models: Building GridSFM for Power Grid An...

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GridSFM delivers an open-source pipeline and foundation model that converts OpenStreetMap, U.S. EIA, U.S. Census and Highfield boundaries into AC-OPF-solvable continental-scale models (48 states plus six multi-region cases, ~20k buses). The dataset and model train on ~200 grids and >500k scenarios, label feasibility, and predict operating points in milliseconds with 96% feasibility accuracy. Using predicted states to warm-start solvers yields an average 1.66× faster warm-start and speeds up 39 of 54 unseen test grids; code and checkpoints live on Hugging Face.

AI-written summary · about

  1. 0:00Introduction to GridSFM
  2. 2:52Open data pipeline for grids
  3. 18:36GridSFM foundational model
  4. 25:24Open tools and future work
  5. 26:12Q&A session
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