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Data catalog · Model output

Expected generation and physical potential

InfraMap models of what each US plant could have produced from its weather and equipment, and of its expected monthly output, from January 2010.

Updated November 2, 2026

About the data

Physical potential is an InfraMap model of the net energy a plant’s dated equipment could have produced from the weather it actually experienced, assuming full availability and no curtailment. Solar uses NSRDB irradiance, wind uses HRRR or ERA5 winds at hub height, and thermal potential uses seasonal net capability.

Expected generation estimates a plant’s monthly non-storage net generation from its physical potential and its own earlier reported output. It is a retrospective hindcast, not a forecast, and it uses no price inputs.

Both are model outputs, not reported data. A gap between reported output and the model is a lead to check, not a measured loss.

This is a model output, not observed data. InfraMap labels it as a model everywhere it appears.

Potential
Solar and wind 2010 to 2025, with a 2026 archive to October 1, 2026; thermal monthly for 3,473 projects, January 2010 to August 2026
Expected generation
January 2010 to September 2026; thermal to August 2026
Recent days
From September 1, 2026, refreshed about every six hours
Validation
WAPE on retrospective months: solar 14.2%, wind 15.2%, thermal 26.4%

Access

Part of InfraMap Pro. See pricing.

Where it appears: Output tab, agent, MCP.

MCP tools that return it: get_project_generation_potential, explain_output_with_weather. The MCP server is part of Pro; setup is on MCP server.

Sources

Periods and update notes for each source are on Data sources.

Known gaps

Limits
  • Output below potential is not assigned a cause. It can reflect curtailment, outages, other limits, physical losses or model overprediction.
  • Expected generation uses realized weather and revised EIA data, so it is not what could have been predicted at the time.
  • Snow, shading and bifacial gain are not modeled. All values are provisional, recent values more so.
  • It covers today’s fleet, not retired plants. Aggregate error does not guarantee accuracy for any single plant.

Missing values stay missing: a null means the source has no usable record, never zero. Zero and negative values are shown as reported.

Method and validation

How the model is built, what it was tested against and where it is weak is on Methodology.

Questions it answers

  • How did a given solar plant’s 2025 output compare with its physical potential each month?
  • In which months of 2025 did a given wind farm produce below 60% of what its weather predicts?
  • Which wind plants in SPP produced furthest below their weather-based expectation in 2025?

Ask the analyst

Terms: Capacity factor, Curtailment.