European Installed Generation Capacity by Fuel
Year-by-year installed generation capacity (MW) by fuel type for every European bidding zone - the structural backdrop to every supply/merit-order analysis, cleaned from ENTSO-E into one Parquet.
- Source
- ENTSO-E
- Licence
- Redistributable open data
- Updates
- Annual
- Data through
- 2026-01-01
- 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
- Installed capacity by fuel type, all ~28 EU zones, yearly 2018-2026
- Fuel codes decoded to names (Nuclear, Fossil Gas, Wind Offshore, …)
- One row per zone × fuel × year; flat + partitioned
- The denominator for capacity-factor and energy-transition analytics
Schema
| Column | Type | Description | Filled | Distinct |
|---|---|---|---|---|
| zone | str | Bidding zone | 100.0% | 29 |
| ts | timestamp (UTC) | Year (period start) | 100.0% | 33 |
| fuel | str | Decoded production type | 100.0% | 21 |
| capacity_mw | float | Installed capacity, MW | 100.0% | 1,501 |
| unit | str | Unit | 100.0% | 1 |
| res_min | int | Native resolution in minutes (15/30/60) | 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: ENTSO-E (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("european-installed-capacity_sample.parquet") df.info() # typed columns, gap-aware, ready to join⬇ Download free Parquet sample or CSV for Excel
Coverage: 29 zones
AT · BE · BG · CH · CZ · DE_LU · DK1 · DK2 · EE · ES · FI · FR · GR · HR · HU · IE_SEM · LT · LV · NL · NO1 · NO2 · NO3 · NO4 · NO5 · PL · PT · RO · SI · SK
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