Sup3rLoad Dataset
Sup3rLoad is a dataset of hourly electricity load for the contiguous United States that varies jointly with electrification and weather. It spans 2 electrification scenarios, 5 CMIP6 Earth system models (Sup3rCC, SSP2-4.5), 6 scenario years between 2025 and 2050, 60 weather years (2000 through 2059), 14 end-use subsectors, and 48 states plus the District of Columbia, stored in a NetCDF4 file. Hourly profiles for weather-sensitive subsectors (heating, cooling, light-duty electric vehicle charging, and data center cooling) were produced by training neural network regressions on building-energy simulations, applying them to downscaled weather projections, and integrating the results through a bottom-up stock-turnover energy-demand model calibrated to state-level electricity sales and hourly system load patterns.
Citation Formats
TY - DATA
AB - Sup3rLoad is a dataset of hourly electricity load for the contiguous United States that varies jointly with electrification and weather. It spans 2 electrification scenarios, 5 CMIP6 Earth system models (Sup3rCC, SSP2-4.5), 6 scenario years between 2025 and 2050, 60 weather years (2000 through 2059), 14 end-use subsectors, and 48 states plus the District of Columbia, stored in a NetCDF4 file. Hourly profiles for weather-sensitive subsectors (heating, cooling, light-duty electric vehicle charging, and data center cooling) were produced by training neural network regressions on building-energy simulations, applying them to downscaled weather projections, and integrating the results through a bottom-up stock-turnover energy-demand model calibrated to state-level electricity sales and hourly system load patterns.
AU - Jones, Ryan
A2 - Buster, Grant
A3 - Haley, Ben
A4 - Murphy, Caitlin
A5 - Torn, Margaret
DB - Open Energy Data Initiative (OEDI)
DP - Open EI | National Laboratory of the Rockies
DO - 10.25984/3873019
KW - energy
KW - power
KW - Sup3r
KW - electricity
KW - load
KW - CONUS
KW - United States
KW - electrification
KW - weather
KW - scenario
KW - earth system model
KW - CMIP6
KW - Sup3rCC
KW - SSP2-4.5
KW - NetCDF4
KW - data
KW - processed data
KW - hourly profile
KW - heating
KW - cooling
KW - electric vehicle charging
KW - data center cooling
KW - neural network regression
KW - weather projection
LA - English
DA - 2025/12/06
PY - 2025
PB - Evolved Energy Research
T1 - Sup3rLoad Dataset
UR - https://doi.org/10.25984/3873019
ER -
Jones, Ryan, et al. Sup3rLoad Dataset. Evolved Energy Research, 6 December, 2025, Open Energy Data Initiative (OEDI). https://doi.org/10.25984/3873019.
Jones, R., Buster, G., Haley, B., Murphy, C., & Torn, M. (2025). Sup3rLoad Dataset. [Data set]. Open Energy Data Initiative (OEDI). Evolved Energy Research. https://doi.org/10.25984/3873019
Jones, Ryan, Grant Buster, Ben Haley, Caitlin Murphy, and Margaret Torn. Sup3rLoad Dataset. Evolved Energy Research, December, 6, 2025. Distributed by Open Energy Data Initiative (OEDI). https://doi.org/10.25984/3873019
@misc{OEDI_Dataset_8750,
title = {Sup3rLoad Dataset},
author = {Jones, Ryan and Buster, Grant and Haley, Ben and Murphy, Caitlin and Torn, Margaret},
abstractNote = {Sup3rLoad is a dataset of hourly electricity load for the contiguous United States that varies jointly with electrification and weather. It spans 2 electrification scenarios, 5 CMIP6 Earth system models (Sup3rCC, SSP2-4.5), 6 scenario years between 2025 and 2050, 60 weather years (2000 through 2059), 14 end-use subsectors, and 48 states plus the District of Columbia, stored in a NetCDF4 file. Hourly profiles for weather-sensitive subsectors (heating, cooling, light-duty electric vehicle charging, and data center cooling) were produced by training neural network regressions on building-energy simulations, applying them to downscaled weather projections, and integrating the results through a bottom-up stock-turnover energy-demand model calibrated to state-level electricity sales and hourly system load patterns.},
url = {https://data.openei.org/submissions/8750},
year = {2025},
howpublished = {Open Energy Data Initiative (OEDI), Evolved Energy Research, https://doi.org/10.25984/3873019},
note = {Accessed: 2026-09-28},
doi = {10.25984/3873019}
}
https://dx.doi.org/10.25984/3873019
Details
Data from Dec 6, 2025
Last updated Sep 21, 2026
Submitted Aug 12, 2026
Organization
Evolved Energy Research
Contact
Ryan Jones
Authors
Research Areas
Keywords
energy, power, Sup3r, electricity, load, CONUS, United States, electrification, weather, scenario, earth system model, CMIP6, Sup3rCC, SSP2-4.5, NetCDF4, data, processed data, hourly profile, heating, cooling, electric vehicle charging, data center cooling, neural network regression, weather projectionDOE Project Details
Project Name Energy System Planning for Resilience during Severe Weather (ESPRS)
Project Number 12765
