US Load Forecast Error
US load forecast error (actual demand - EIA day-ahead forecast, MWh) per region and hour - a primary driver of wholesale power prices, pre-aligned from EIA. The US counterpart to the EU dataset.
- 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
- US load forecast error = actual - forecast (MWh), 13 regions, 2021-present
- Positive = under-forecast (demand higher than expected)
- Aligned on region+hour; an input for power-price research & analytics
- Source: U.S. Energy Information Administration (public domain)
Schema
| Column | Type | Description | Filled | Distinct |
|---|---|---|---|---|
| zone | str | EIA region | 100.0% | 13 |
| ts | timestamp (UTC) | Hour | 100.0% | 48,922 |
| load_error_mwh | float | Actual - forecast demand, MWh | 100.0% | 19,709 |
| unit | str | Unit | 100.0% | 1 |
| res_min | int | Native resolution (hourly) | 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("us-load-forecast-error_sample.parquet") df.info() # typed columns, gap-aware, ready to join⬇ Download free Parquet sample or CSV for Excel
Coverage: 13 zones
CAL · CAR · CENT · FLA · MIDA · MIDW · NE · NW · NY · SE · SW · TEN · TEX
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