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    "headline": "The Grid Solver Learned Three Jobs at Once",
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    "dek": "GENCO uses one physically corrective neural architecture for power flow, optimal power flow and state estimation.",
    "summary": "GENCO uses one physically corrective neural architecture for power flow, optimal power flow and state estimation.",
    "body_text": "GENCO shares a network representation across three steady-state transmission-grid tasks, while a new GridFM framework standardizes synthetic data generation and training. On the authors' benchmarks it reached up to 30-fold speedups over Newton-Raphson power flow and up to 85-fold over IPOPT optimal power flow. Tests also included Hydro-Québec SCADA data. Those are author-reported evaluations; utilities would still need independent safety, stability and domain validation.",
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    "tags": [
      "power grids",
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      "source_id": "source-2026-08-11-003",
      "title": "arXiv preprint 2608.09921",
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    "title": "The Grid Solver Learned Three Jobs at Once",
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