Modeled Hourly Load Profiles for U.S. Government Electric Vehicle Fleets

Modeled hourly electricity demand profiles for federal, state, and municipal electric vehicle fleets in the United States. The data is available at multiple spatial resolutions, including Uber H3 hex, county, and city levels, as documented in a 2025 NREL technical report.

Use Cases

• Model grid impacts by analyzing hourly load profiles at the Uber H3 hex resolution.
• Compare electricity demand patterns for Federal, State, and Municipal fleet categories.
• Aggregate load profiles at the county or city resolution for regional infrastructure planning.
• Use the modeled load profiles as inputs for power system simulations.

Strengths

• Data is based on a peer-reviewed 2025 methodology from the National Renewable Energy Laboratory.
• Profiles are provided at three spatial resolutions: Uber H3 hex, county, and city.
• Covers multiple government fleet types: Federal, State, and Municipal.

Limitations

• Data is modeled, not measured, which may introduce inaccuracies compared to real-world observations.
• The underlying file format (BIN) is not standard for tabular data and may require specialized tools to read.
• Specific temporal coverage and the number of modeled fleets or time series are not provided.

Provenance

Source

National Renewable Energy Laboratory (NREL), Department of Energy.

Collection Method

Modeled load profiles as described in Singer et al. (2025).

Freshness

The dataset was last updated in March 2026, indicating recent maintenance.

Geography

United States, with data at Uber H3 hex, county, and city resolutions.