European Renewable Capture Prices
What price renewable output actually fetches across Europe, monthly per zone: the solar and wind capture prices, the cannibalisation ratio (how much renewables depress their own capture as penetration rises), and per-fuel capture prices and capture rates. The whole renewable value-capture picture in one panel - the number every PPA, merchant-renewable and offtake model is built on.
- Source
- derived
- Licence
- Redistributable open data
- Updates
- Monthly
- Data through
- 2026-07-01
- 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
- Solar & wind capture prices + cannibalisation ratio + per-fuel capture price/rate, per zone
- Monthly, all European bidding zones - the renewable value-capture panel
- PPA / merchant-renewable / offtake valuation input; joins the power catalog by zone
- Source: ENTSO-E Transparency Platform (CC-BY-4.0) - derived
Schema
| Column | Type | Description | Filled | Distinct |
|---|---|---|---|---|
| zone | str | ENTSO-E zone | 100.0% | 40 |
| ts | timestamp (UTC) | Month | 100.0% | 103 |
| metric | str | Solar/Wind capture price, cannibalisation ratio, per-fuel capture price/rate | 100.0% | 18 |
| value | float | EUR/MWh or ratio | 100.0% | 11,160 |
| unit | str | unit | 100.0% | 2 |
| res_min | int | Native resolution (monthly) | 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: derived (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-renewable-capture-prices_sample.parquet") df.info() # typed columns, gap-aware, ready to join⬇ Download free Parquet sample or CSV for Excel
Coverage: 40 zones
AT · BE · BG · CH · CZ · DE_LU · DK1 · DK2 · EE · ES · FI · FR · GR · HR · HU · IE_SEM · IT_CALA · IT_CNOR · IT_CSUD · IT_NORD · IT_SARD · IT_SICI · IT_SUD · LT · LV · NL · NO1 · NO2 · NO3 · NO4 · NO5 · PL · PT · RO · SE1 · SE2 · SE3 · SE4 · SI · SK
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