Energy Grid Load Forecast Data
This dataset provides granular, hourly energy grid load forecasts and actual measurements for multiple regions, including indicators for peak periods, renewable energy share, and weather context. It is ideal for validating forecasting models, analyzing grid performance, and supporting sustainability initiatives in energy management.
Sample rows
preview · 8 of 200 rows · all 11 columns| forecast_idstring | weather_conditionstring | temperature_celsiusfloat | peak_indicatorboolean | region_idstring | region_namestring | datetimedatetime | forecast_load_mwfloat | actual_load_mwfloat | renewable_share_percentfloat | forecast_model_versionstring |
|---|---|---|---|---|---|---|---|---|---|---|
| F00001 | clear | 33.2 | true | NE1 | Northeast Urban | 2024-06-01T13:00:00Z | 1850.4 | 1827.2 | 32.5 | v4.0.1 |
| F00002 | cloudy | 29.4 | false | SE1 | Southeast Urban | 2024-06-01T22:00:00Z | 1621.7 | 1679.9 | 45.8 | v4.0.2 |
| F00003 | clear | 44.1 | true | SW1 | Southwest Desert | 2024-07-03T15:00:00Z | 970.2 | 959.3 | 87.3 | v4.1.0 |
| F00004 | rainy | 27.6 | true | NW2 | Northwest Urban | 2024-08-01T17:00:00Z | 2052.1 | 2098.7 | 28.7 | v4.1.1 |
| F00005 | windy | 16.9 | true | PL1 | Plains Wind Farm | 2024-09-12T12:00:00Z | 3400.3 | 3422.8 | 97.8 | v4.2.0 |
| F00006 | snowy | -19.4 | false | MID1 | Midwest Rural | 2024-12-13T05:00:00Z | 302.6 | 295.1 | 21.7 | v2.8.4 |
| F00007 | rainy | 15.7 | false | NW1 | Northwest Rainforest | 2024-05-15T08:00:00Z | 1180 | 1172.3 | 66.9 | v4.3.2 |
| F00008 | windy | 11.6 | true | PL2 | Plains Hydro | 2024-10-09T13:00:00Z | 2100.4 | 2113.7 | 100 | v5.0.1 |
| F00009 | rainy | 23.8 | false | SE2 | Southeast Coastal | 2024-05-03T19:00:00Z | 1246.8 | 1264.5 | 54 | v4.1.3 |
| F00010 | foggy | -22.7 | false | MID2 | Midwest Rural | 2024-01-20T04:00:00Z | 214 | 217.9 | 18.1 | v2.9.0 |
| F00011 | cloudy | 11.2 | false | NW2 | Northwest Urban | 2024-04-24T16:00:00Z | 1004.5 | 1012.8 | 39.2 | v3.2.7 |
| F00012 | clear | 18.3 | true | PL1 | Plains Wind Farm | 2024-09-20T11:00:00Z | 1413.7 | 1407.9 | 93.2 | v4.2.5 |
| F00013 | clear | 28.5 | false | NE1 | Northeast Urban | 2024-07-13T20:00:00Z | 1687.1 | 1671.4 | 38.9 | v4.1.6 |
| F00014 | clear | 39.8 | true | SW2 | Southwest Urban | 2024-06-30T14:00:00Z | 1576.4 | 1583.7 | 44.3 | v4.2.1 |
| F00015 | windy | 17.3 | true | PL2 | Plains Hydro | 2024-10-24T13:00:00Z | 3855.9 | 3862.1 | 99.5 | v5.0.3 |
| F00016 | snowy | -15.2 | false | MID1 | Midwest Rural | 2024-12-24T06:00:00Z | 386.3 | 392.2 | 19.6 | v2.8.7 |
| F00017 | rainy | 10.9 | false | NW1 | Northwest Rainforest | 2024-03-10T09:00:00Z | 932.1 | 943.5 | 67.3 | v4.3.7 |
| F00018 | cloudy | 20.5 | false | SE2 | Southeast Coastal | 2024-05-29T18:00:00Z | 1983.4 | 1977.1 | 61.2 | v4.1.5 |
| F00019 | windy | 45.7 | true | SW1 | Southwest Desert | 2024-07-19T13:00:00Z | 993.7 | 1001 | 84.6 | v4.2.6 |
| F00020 | clear | 37.4 | true | NE1 | Northeast Urban | 2024-08-28T21:00:00Z | 1963.8 | 1947.3 | 42.1 | v4.2.9 |
What the 200 rows show
from the 200-row sampleSnowy (weather condition) stands out: mean temperature_
- 56%peak_
indicator = true - 17.0median temperature_
celsius - 13region names
- 1,500median forecast_
load_ mw - 1,502median actual_
load_ mw - 47.4median renewable_
share_ percent
Median 17.0, from -30.0 to 46.7.
- string 5
- float 4
- datetime 1
- boolean 1
Columns
11 columns in four groups| column | type | description | example |
|---|---|---|---|
| Text 5 columns | |||
forecast_id | string | Unique identifier for each forecast recordunique | F00001 |
region_id | string | Identifier for the regional energy grid | NE1 |
region_name | string | Human-readable name of the energy grid region | Northeast Urban |
weather_condition | string | General weather condition (e.g., clear, cloudy, rainy, snowy)7 values · optional | clear |
forecast_model_version | string | Version identifier of the forecasting model usedoptional | v4.0.1 |
| Numbers 4 columns | |||
forecast_load_mw | float | Forecasted grid load in megawatts (MW) for the hour0 or more | 1850.4 |
actual_load_mw | float | Actual measured grid load in megawatts (MW) for the hour0 or more | 1827.2 |
renewable_share_percent | float | Percentage of grid load supplied by renewable sources during the hour0 to 100 · optional | 32.5 |
temperature_celsius | float | Ambient temperature in Celsius for the region at the forecasted houroptional | 33.2 |
| Dates and times 1 column | |||
datetime | datetime | Timestamp for the forecasted hour (start of hour) | 2024-06-01T13:00:00Z |
| True or false 1 column | |||
peak_indicator | boolean | Indicates if this hour is a peak load period for the regionoptional | true |
Use it for
An energy dashboard
The peak_
indicator rate, temperature_ celsius by weather_ condition and a breakdown of region_ id. Excel, Power BI or Tableau. Why do the 20 snowy rows have a mean temperature_
celsius of -21.5? A root-cause class exercise
Hand out the rows and one question. The answer is in the data, not in the brief.
- Forecasts200F0000133.2clearF0000229.4cloudyF0000344.1clear
A software demo
Believable forecasts with region_
id, region_ name and datetime to fill a screen in front of a buyer.
blueprint · energy-grid-load-forecast-data
Behind this dataset
Same schema. As many rows as you need.
These 200 rows came out of a blueprint — 11 columns with generation rules behind each one. Open it in Data Factory to retune a column, add your own, wire in foreign keys, and run it at the size you actually need.
- Forecast and actual load values included.
- Time-stamped hourly records.
- Regional geocode required.
- Weather anomaly flags present.
- Demand response event status recorded.
1 credit per row. Preview 20 rows free. Buy rows for the full run.
- Exports
- CSV, JSON, JSONL, Parquet, SQL, Excel, TSV, XML
- Licence
- yours to use, including commercially
- API slug
- energy-grid-load-forecast-data