Hugging Face's logo

Datasets:
zalizedata
/
us-grid-hourly-power-plants-dataset

Tasks:
Time Series Forecasting
Modalities:
Tabular
Text
Formats:
parquet
Languages:
English
Size:
10M - 100M
Tags:
energy
eia
electricity
grid
power-plants
fuel-mix
Libraries:
Datasets
pandas
Polars
License:
Dataset card Data Studio Files
xet
 Community
Dataset Viewer
Auto-converted to Parquet Duplicate
ba
large_stringclasses
82 values
fuel_type
large_stringclasses
9 values
ts_utc
large_stringdate
2019-01-01 00:00:00
2026-08-03 06:00:00
year
int32
2.02k
2.03k
net_generation_mwh
float64
-2,239,980
3.59M
⌀
AEC
COL
2019-01-01T00:00:00Z
2,019
null
AEC
COL
2019-01-01T01:00:00Z
2,019
null
AEC
COL
2019-01-01T02:00:00Z
2,019
null
AEC
COL
2019-01-01T03:00:00Z
2,019
null
AEC
COL
2019-01-01T04:00:00Z
2,019
null
AEC
COL
2019-01-01T05:00:00Z
2,019
null
AEC
COL
2019-01-01T06:00:00Z
2,019
null
AEC
COL
2019-01-01T07:00:00Z
2,019
-5
AEC
COL
2019-01-01T08:00:00Z
2,019
-5
AEC
COL
2019-01-01T09:00:00Z
2,019
-5
AEC
COL
2019-01-01T10:00:00Z
2,019
-5
AEC
COL
2019-01-01T11:00:00Z
2,019
-3
AEC
COL
2019-01-01T12:00:00Z
2,019
-7
AEC
COL
2019-01-01T13:00:00Z
2,019
-3
AEC
COL
2019-01-01T14:00:00Z
2,019
-5
AEC
COL
2019-01-01T15:00:00Z
2,019
-5
AEC
COL
2019-01-01T16:00:00Z
2,019
-3
AEC
COL
2019-01-01T17:00:00Z
2,019
-4
AEC
COL
2019-01-01T18:00:00Z
2,019
-6
AEC
COL
2019-01-01T19:00:00Z
2,019
-4
AEC
COL
2019-01-01T20:00:00Z
2,019
-4
AEC
COL
2019-01-01T21:00:00Z
2,019
-4
AEC
COL
2019-01-01T22:00:00Z
2,019
-5
AEC
COL
2019-01-01T23:00:00Z
2,019
-6
AEC
COL
2019-01-02T00:00:00Z
2,019
-3
AEC
COL
2019-01-02T01:00:00Z
2,019
-4
AEC
COL
2019-01-02T02:00:00Z
2,019
-6
AEC
COL
2019-01-02T03:00:00Z
2,019
-5
AEC
COL
2019-01-02T04:00:00Z
2,019
-2
AEC
COL
2019-01-02T05:00:00Z
2,019
-6
AEC
COL
2019-01-02T06:00:00Z
2,019
-5
AEC
COL
2019-01-02T07:00:00Z
2,019
-4
AEC
COL
2019-01-02T08:00:00Z
2,019
-4
AEC
COL
2019-01-02T09:00:00Z
2,019
-7
AEC
COL
2019-01-02T10:00:00Z
2,019
-2
AEC
COL
2019-01-02T11:00:00Z
2,019
-5
AEC
COL
2019-01-02T12:00:00Z
2,019
-3
AEC
COL
2019-01-02T13:00:00Z
2,019
-7
AEC
COL
2019-01-02T14:00:00Z
2,019
-4
AEC
COL
2019-01-02T15:00:00Z
2,019
-3
AEC
COL
2019-01-02T16:00:00Z
2,019
-5
AEC
COL
2019-01-02T17:00:00Z
2,019
-6
AEC
COL
2019-01-02T18:00:00Z
2,019
-4
AEC
COL
2019-01-02T19:00:00Z
2,019
-3
AEC
COL
2019-01-02T20:00:00Z
2,019
-7
AEC
COL
2019-01-02T21:00:00Z
2,019
-3
AEC
COL
2019-01-02T22:00:00Z
2,019
-4
AEC
COL
2019-01-02T23:00:00Z
2,019
-4
AEC
COL
2019-01-03T00:00:00Z
2,019
-5
AEC
COL
2019-01-03T01:00:00Z
2,019
-5
AEC
COL
2019-01-03T02:00:00Z
2,019
-2
AEC
COL
2019-01-03T03:00:00Z
2,019
-7
AEC
COL
2019-01-03T04:00:00Z
2,019
-6
AEC
COL
2019-01-03T05:00:00Z
2,019
-3
AEC
COL
2019-01-03T06:00:00Z
2,019
-4
AEC
COL
2019-01-03T07:00:00Z
2,019
-5
AEC
COL
2019-01-03T08:00:00Z
2,019
-5
AEC
COL
2019-01-03T09:00:00Z
2,019
-3
AEC
COL
2019-01-03T10:00:00Z
2,019
-5
AEC
COL
2019-01-03T11:00:00Z
2,019
-6
AEC
COL
2019-01-03T12:00:00Z
2,019
-4
AEC
COL
2019-01-03T13:00:00Z
2,019
-3
AEC
COL
2019-01-03T14:00:00Z
2,019
-6
AEC
COL
2019-01-03T15:00:00Z
2,019
-5
AEC
COL
2019-01-03T16:00:00Z
2,019
-4
AEC
COL
2019-01-03T17:00:00Z
2,019
-5
AEC
COL
2019-01-03T18:00:00Z
2,019
-5
AEC
COL
2019-01-03T19:00:00Z
2,019
-5
AEC
COL
2019-01-03T20:00:00Z
2,019
-2
AEC
COL
2019-01-03T21:00:00Z
2,019
-5
AEC
COL
2019-01-03T22:00:00Z
2,019
-4
AEC
COL
2019-01-03T23:00:00Z
2,019
-6
AEC
COL
2019-01-04T00:00:00Z
2,019
-5
AEC
COL
2019-01-04T01:00:00Z
2,019
-4
AEC
COL
2019-01-04T02:00:00Z
2,019
-5
AEC
COL
2019-01-04T03:00:00Z
2,019
-3
AEC
COL
2019-01-04T04:00:00Z
2,019
-4
AEC
COL
2019-01-04T05:00:00Z
2,019
-5
AEC
COL
2019-01-04T06:00:00Z
2,019
-4
AEC
COL
2019-01-04T07:00:00Z
2,019
-6
AEC
COL
2019-01-04T08:00:00Z
2,019
-4
AEC
COL
2019-01-04T09:00:00Z
2,019
-4
AEC
COL
2019-01-04T10:00:00Z
2,019
-5
AEC
COL
2019-01-04T11:00:00Z
2,019
-4
AEC
COL
2019-01-04T12:00:00Z
2,019
-4
AEC
COL
2019-01-04T13:00:00Z
2,019
-6
AEC
COL
2019-01-04T14:00:00Z
2,019
-4
AEC
COL
2019-01-04T15:00:00Z
2,019
-5
AEC
COL
2019-01-04T16:00:00Z
2,019
-3
AEC
COL
2019-01-04T17:00:00Z
2,019
-6
AEC
COL
2019-01-04T18:00:00Z
2,019
-5
AEC
COL
2019-01-04T19:00:00Z
2,019
-3
AEC
COL
2019-01-04T20:00:00Z
2,019
-5
AEC
COL
2019-01-04T21:00:00Z
2,019
-3
AEC
COL
2019-01-04T22:00:00Z
2,019
-5
AEC
COL
2019-01-04T23:00:00Z
2,019
-4
AEC
COL
2019-01-05T00:00:00Z
2,019
-4
AEC
COL
2019-01-05T01:00:00Z
2,019
-6
AEC
COL
2019-01-05T02:00:00Z
2,019
-4
AEC
COL
2019-01-05T03:00:00Z
2,019
-6
End of preview. Expand in Data Studio

US Grid Hourly Operations & Power Plants (EIA)

Hourly US electric-grid demand, generation, fuel mix and interchange from the official EIA grid monitor, joined with the EIA-860/923 power-plant master library.

Part of the DataForge Open Data program — full production packages, free for academic and personal use. Canonical dataset page: https://data.zalize.com/datasets/us-grid-hourly-power-plants-dataset

Package inventory (original bundles, served from CDN)

Package Tier Rows Size SHA-256
energy-tier1-S-2026-08-04.zip S 209,518 1.7 MB 0e74e06144cc36d92d5439a9b0547b00a93f38b6a5fd4cfdf2e9ca1641d9b02c
energy-tier1-M-2026-08-04.zip M 7,929,603 69.6 MB a6a66595c50e4f995f01baca19951ac362b8d23ae424c514b468218ef62493a8
energy-tier2-L-2026-08-04.zip L 60,657,958 502.9 MB 88a58ac655108e201b6603ea4aab74e59f6bf313ddd3fa134c9147260c19d48e

All files are also served from the machine-readable open-data index: https://dl.zalize.com/open-data (per-package URL: https://dl.zalize.com/open-data/<package_id>).

Native parquet files (this repo)

Every table ships as snappy parquet under data/<tier>/ and renders in the Dataset Viewer above (one config per tier / table).

Original zip bundles (archive download)

The original production packages (csv + parquet + data dictionary + datasheet + license inside) are served from the DataForge open-data CDN (free, same license):

What you get

  • S — CAISO full-year 2025 hourly demand/generation/fuel mix/interchange
  • M — All US balancing authorities 2025 hourly + EIA-860/923 plant library
  • L — Full history: multi-year hourly series and plant-level generation
  • Data dictionary, datasheet and QA report included with every package

Use cases

  • Grid and renewables research
  • Power-market forecasting features
  • Plant-level asset analysis
  • Energy-transition tracking

Source & methodology

US EIA hourly grid (EBA) + EIA-860/923 plant master data

Coverage, update cadence and the full field-level data dictionary are on the dataset page: https://data.zalize.com/datasets/us-grid-hourly-power-plants-dataset (DATA-DICTIONARY.md and DATASHEET.md are inside each package zip).

License

Dual license — CC BY-NC 4.0 (DataForge curated layer; academic/personal use, attribution + backlink required); commercial use requires a DataForge commercial license. Upstream data: public domain, official US EIA bulk data (17 U.S.C. §105)

Citation 

DataForge (data.zalize.com), built from official US EIA bulk data — https://data.zalize.com/datasets/us-grid-hourly-power-plants-dataset

DOI (Zenodo mirror): 10.5281/zenodo.21837319 · GitHub Release mirror: https://github.com/wookat/dataforge-pipelines/releases/tag/open-data-us-grid-energy

Usage 

from datasets import load_dataset

ds = load_dataset("zalizedata/us-grid-hourly-power-plants-dataset", "S-ba_fuel_generation_hourly", split="train")
print(ds[0])

Available configs: S-ba_fuel_generation_hourly, S-ba_hourly, S-ba_interchange_hourly, S-ba_subregion_hourly, S-balancing_authorities, S-eba_gap_report, M-ba_fuel_generation_hourly, M-ba_hourly, M-ba_interchange_hourly, M-ba_subregion_hourly, M-balancing_authorities, M-eba_gap_report, M-generators, M-plant_month_generation, M-plant_profiles, M-plants, M-state_electricity_prices, M-state_generation_monthly, M-utilities, L-ba_fuel_generation_hourly, L-ba_hourly, L-ba_interchange_hourly, L-ba_subregion_hourly, L-balancing_authorities, L-eba_gap_report, L-generators, L-plant_month_generation, L-plant_profiles, L-plants, L-state_electricity_prices, L-state_generation_monthly, L-utilities.

Related datasets

More DataForge open datasets in Macro, Trade, Energy & Real Estate:

Full catalog (25 datasets): https://data.zalize.com/open-data · all HF repos: https://huggingface.co/zalizedata
Downloads last month
130
Number of rows:
68,797,079
Total file size:
1.06 GB