US Power Plant Generation & Fuel (EIA
What every US power plant actually generated and burned, per year - the realised-output companion to our EIA-860 generator registry. From EIA's Form EIA-923 (facility fuel), the annual plant-total view: one clean row per (plant × year) with net and gross generation (MWh), total fuel consumption (MMBtu) and the share consumed for electricity - plant name, state and EIA plant code on every row. Join it to us-power-plant-generators on plant code to turn nameplate capacity into actual output (capacity factors, utilisation). Public domain.
- Source
- EIA_GEN
- 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
- Annual net + gross generation (MWh) for every US plant - one clean row per plant × year
- Total fuel consumption (MMBtu) + share consumed for electricity
- EIA plant code + name + state; joins us-power-plant-generators (EIA-860) for capacity factors
- The realised-output layer under our US generation-by-fuel series
- Audiences: energy analysts, ESG/climate-risk, grid/utility, infra investors
- Public domain (U.S. EIA, Form EIA-923) - free commercial reuse & resale
- Source: U.S. Energy Information Administration - EIA-923 facility fuel & generation
Schema
| Column | Type | Description | Filled | Distinct |
|---|---|---|---|---|
| plant_id | str | EIA plant code (with year, the primary key) | 100.0% | 15,776 |
| year | int | Reporting year | 100.0% | 25 |
| plant_name | str | Plant name | 100.0% | 18,724 |
| state | str | US state (2-letter) | 100.0% | 52 |
| net_generation_mwh | float | Net generation (MWh) | 100.0% | 105,448 |
| gross_generation_mwh | float | Gross generation (MWh) | 100.0% | 107,349 |
| fuel_consumption_mmbtu | float | Total fuel consumption (MMBtu) | 100.0% | 145,742 |
| consumption_for_electricity_mmbtu | float | Fuel consumed for electricity generation (MMBtu) | 100.0% | 144,721 |
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_GEN (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-generation_sample.parquet") df.info() # typed columns, gap-aware, ready to join⬇ Download free Parquet sample or CSV for Excel
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