European Energy + Weather Panel
The one table every European power model wants: day-ahead price, load, wind & solar generation, and the weather that drives them (temperature, wind speed, solar irradiance) - all aligned on ENTSO-E zone × day. We did the join; you skip a week of resampling and key-matching across four feeds.
- Source
- derived
- Licence
- Redistributable open data
- Updates
- Daily
- 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
- 7 variables per zone × day: price, load, wind gen, solar gen, temp, wind, irradiance
- Pre-joined ENTSO-E (price/load/gen) × NASA POWER (weather) - the alignment is the moat
- Long format (variable column) - pivot to wide in one line
- Source: ENTSO-E + NASA POWER (CC-BY / public domain, derived)
Schema
| Column | Type | Description | Filled | Distinct |
|---|---|---|---|---|
| zone | str | ENTSO-E zone | 100.0% | 40 |
| ts | timestamp (UTC) | Day | 100.0% | 4,231 |
| variable | str | Which series (price / load / wind gen / … / irradiance) | 100.0% | 7 |
| value | float | Daily value in the variable's unit | 100.0% | 196,292 |
| unit | str | Unit (mixed - see variable) | 100.0% | 3 |
| res_min | int | Native resolution (daily) | 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-energy-weather-panel_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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