ERCOT Wind Generation by Region

Because wind is concentrated in specific parts of the state, the regional split shows where the generation is physically coming from and how it shifts with weather. Comparing the forecast vintages against the realized values reveals how wind expectations firmed up as the operating hour approached, which informs net-load estimates, congestion and ramping risk, and price formation. For renewable curtailment analysis, compare COP HSL and actual_mw within the same geography and selected publication vintage; the positive difference is an estimated available-output gap, not published curtailed MWh or proof of economic curtailment. Sourced from ERCOT report NP4-742-CD (Wind Power Production).

Query contract

Choose one geography and one source_time vintage per event_time before comparing forecast and actual wind output. Use geography='system_wide' for an ERCOT-wide value.

Analysis rules

Do not sum regional rows together with geography='system_wide', and do not sum forecast vintages.

Interpretation

For curtailment screening, greatest(cop_hsl_mw - actual_mw, 0) is an estimated available-output gap in MW, not measured curtailed energy. Match a single vintage and geography, exclude future hours and null actuals, and do not treat forecast misses or offline capacity as confirmed curtailment.actual_mw and wind forecast fields measure generation output, not gross electricity demand. A wind forecast miss may change net load and dispatch needs, but it does not establish the cause or magnitude of an ERCOT gross-load forecast error.

Plans

See available download and API access options. View pricing

MCP

Connect an MCP client and load the contract with describe_data before calling query_data.ERCOT MCPAPI reference

HTTP endpoint

POST /api/v1/datasets/ercot_wind_generation_geo/query

Full history

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