US Power Plant Generators (EIA
Every operating generator in the US electric fleet in one clean table - the unit-level inventory beneath the headline generation numbers. From EIA's Form EIA-860 operating generator capacity (latest monthly snapshot), one fat row per generator: plant and operator, generator id, state / county / geocode, technology and energy source, prime mover, sector, balancing authority, operating status, nameplate and seasonal (summer/winter) capacity in MW, in-service date and any planned retirement. The US complement to our EU power-plant registry and the plant-level detail under US generation-by-fuel. Public domain.
- Source
- EIA_PLANTS
- Licence
- Redistributable open data
- Quality
- QC clean · 0 failures
- Format
- Apache Parquet + dictionary
Safe to train on
Built only from a named, redistributable official source under a documented open licence - not scraped web data. No copyright grey zone, no personal data. Ships machine-readable Croissant metadata (ML Commons - loads in Hugging Face / Kaggle / Google), an AI training-licence manifest documenting source, licence and provenance for your model's data governance, and a machine-readable data dictionary (drop it into an agent / RAG prompt so the model knows every column) - all inspectable before you buy.
What's included
- Every operating US generator (~25k) - one fat, unit-level row each
- Plant + operator, technology, energy source, prime mover, sector, balancing authority
- Nameplate + net summer/winter capacity (MW), in-service date, planned retirement
- State / county / lat-lon; operating status (operating, standby, out-of-service…)
- The US mirror of our EU power-plant registry; joins US-generation-by-fuel
- Public domain (U.S. EIA, Form EIA-860) - free commercial reuse & resale
- Source: U.S. Energy Information Administration - EIA-860 operating generator capacity
Schema
| Column | Type | Description | Filled | Distinct |
|---|---|---|---|---|
| plant_id | str | EIA plant code (with generator_id, the primary key) | 100.0% | 14,372 |
| plant_name | str | Plant name | 100.0% | 14,370 |
| generator_id | str | Generator id within the plant | 100.0% | 10,929 |
| operator | str | Operating entity / utility | 99.0% | 5,808 |
| state | str | US state (2-letter) | 100.0% | 51 |
| county | str | County | 100.0% | 1,481 |
| latitude | float | Latitude | 100.0% | 13,908 |
| longitude | float | Longitude | 100.0% | 13,996 |
| technology | str | Generator technology (e.g. Natural Gas Combined Cycle) | 100.0% | 27 |
| energy_source | str | Primary energy source / fuel | 100.0% | 34 |
| prime_mover | str | Prime-mover code (CT, CA, ST, IC, WT, PV, …) | 100.0% | 18 |
| sector | str | Sector (Electric Utility, IPP, Commercial, Industrial…) | 100.0% | 7 |
| balancing_authority | str | Balancing authority | 97.5% | 67 |
| status | str | Operating status description | 100.0% | 4 |
| nameplate_mw | float | Nameplate capacity (MW) | 100.0% | 1,952 |
| summer_mw | float | Net summer capacity (MW) | 99.8% | 2,116 |
| winter_mw | float | Net winter capacity (MW) | 99.7% | 2,104 |
| operating_month | str | In-service year-month | 100.0% | 1,123 |
| planned_retirement | str | Planned retirement year-month (where reported) | 1.7% | 92 |
| snapshot_month | str | EIA-860 snapshot month this row reflects | 100.0% | 1 |
Sample & preview
Every purchase ships as Apache Parquet with a data dictionary and the full QC report. A free sample (first rows + schema) is downloadable here - confirm fit before you buy. Source: EIA_PLANTS (redistributable open data; attribution passes through - see our Licence).
Don't trust screenshots - drop the sample into your notebook right now.
import pandas as pd df = pd.read_parquet("us-power-plant-generators_sample.parquet") df.info() # typed columns, gap-aware, ready to join⬇ Download free Parquet sample or CSV for Excel
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