Energy QC clean AI-training-safe

UK Power Stress & Imbalance Panel

UK residual load (demand - wind/solar/nuclear), its ramp, and the imbalance price in one panel - the islanded GB balancing market that batteries and prop desks trade, pre-joined per settlement period.

118K
rows
1
zones
2024-2026
coverage
1.4 MB
download
Source
derived
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

  • Net load, net-load ramp, imbalance price, GB half-hourly
  • Joins Elexon demand + generation-by-fuel + imbalance prices
  • Source: Elexon BMRS (open licence, derived) - Contains BMRS data © Elexon Limited

Schema

ColumnTypeDescriptionFilledDistinct
zone str Always GB 100.0% 1
ts timestamp (UTC) Settlement period 100.0% 39,431
variable str Metric 100.0% 3
value float Value 100.0% 34,145
unit str Unit (mixed) 100.0% 2
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: 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("uk-power-stress-panel_sample.parquet")
df.info()   # typed columns, gap-aware, ready to join
⬇ Download free Parquet sample or CSV for Excel
Coverage: 1 zones

GB