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Open datasets, fully documented — searchable here, and readable by any LLM.

  • US Grid Disruption Intelligence (DOE OE-417)

    US state grid-disruption intelligence (DOE OE-417, monthly)

    Monthly grid-disruption panel for the 50 US states, DC and Puerto Rico plus a US national aggregate (2002-01 .. 2023-12), built from the Department of Energy's Form OE-417 major electric disturbance event reports (3,874 events). Each (month, state) row carries event counts by cause category (severe weather, physical attack/vandalism, cyber, equipment failure, fuel supply, system operations, wildfire, other), customers affected, demand loss in MW, fatalities/injuries, and average event duration in hours, plus derived features: a 0-100 severity score (each geography scored against its own history), a 12-month pressure ratio of customers affected, a cross-state event heat rank, and the dominant cause. Units are counts, customers, and MW per calendar month. Caveat: OE-417 covers only major disturbances meeting DOE reporting thresholds (e.g. 50,000+ customers for 1+ hour), so small outages are invisible; reporting completeness improved after 2011; annual summaries lag, so 2023 is the latest year. A coincident disruption signal for demand, churn, and lead-scoring models — not a forecast.

    • energy
    • infrastructure
    • demand-forecasting
    • ml-features
    rows
    13,728
    Quality
    97
    Updated
    Oct 1, 2026
    Fresh
    License
    Commercial use OK

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