UK Generation by Fuel Type
Half-hourly GB electricity generation by fuel type (CCGT, Wind, Nuclear, Biomass, Hydro, interconnector flows) in MW from Elexon BMRS, on a clean half-hourly grid.
- Source
- Elexon (GB)
- Licence
- Redistributable open data
- Updates
- Intraday
- Data through
- 2026-08-01
- 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
- Half-hourly GB generation by fuel (MW)
- Fuels: CCGT, Wind, Nuclear, Biomass, Hydro, interconnectors, …
- Contains BMRS data © Elexon Limited
Schema
| Column | Type | Description | Filled | Distinct |
|---|---|---|---|---|
| zone | str | Always GB | 100.0% | 1 |
| ts | timestamp (UTC) | Settlement period (30 min) | 100.0% | 39,429 |
| fuel | str | Fuel type | 100.0% | 20 |
| gen_mw | float | Generation, MW | 100.0% | 19,490 |
| unit | str | Unit | 100.0% | 1 |
| res_min | int | Native resolution (30) | 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: Elexon (GB) (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("uk-generation-by-fuel_sample.parquet") df.info() # typed columns, gap-aware, ready to join⬇ Download free Parquet sample or CSV for Excel
Coverage: 1 zones
GB
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