U.S. Department of EnergyOffice of Scientific and Technical Information
Load Profiles Data for the EVI-RoadTrip Web Tool
Abstract
The dataset contains EVI-RoadTrip outputs, minute-by-minute load profiles in kW for each station in the simulation based on assumed utilization and network density. The load profiles are aggregated to lower spatial resolution (e.g., state-level, corridor-level) by summation of all station loads associated with the respective geography. This results in a load profile for each scenario that summarizes the corridor's, state's, or county's load profile in minute-level resolution.
- Authors:
-
- National Renewable Energy Laboratory
- Publication Date:
- DOE Contract Number:
- AC05-76RL01830
- Research Org.:
- National Renewable Energy Laboratory; Pacific Northwest National Laboratory; Idaho National Laboratory
- Sponsoring Org.:
- USDOE Office of Energy Efficiency and Renewable Energy (EERE), Transportation Office. Vehicle Technologies Office (EE-3V)
- Subject:
- 32 ENERGY CONSERVATION, CONSUMPTION, AND UTILIZATION; charging behavior; DC fast charging; electric vehicle charging load profiles; electric vehicle infrastructure planning; electric vehicles; light-duty vehicles; long-distance travel; travel behavior
- OSTI Identifier:
- 2570907
- DOI:
- https://doi.org/10.15483/2570907
Citation Formats
Akcicek, Cemal. Load Profiles Data for the EVI-RoadTrip Web Tool. United States: N. p., 2026.
Web. doi:10.15483/2570907.
Akcicek, Cemal. Load Profiles Data for the EVI-RoadTrip Web Tool. United States. doi:https://doi.org/10.15483/2570907
Akcicek, Cemal. 2026.
"Load Profiles Data for the EVI-RoadTrip Web Tool". United States. doi:https://doi.org/10.15483/2570907. https://www.osti.gov/servlets/purl/2570907. Pub date:Thu Jan 22 00:00:00 UTC 2026
@article{osti_2570907,
title = {Load Profiles Data for the EVI-RoadTrip Web Tool},
author = {Akcicek, Cemal},
abstractNote = {The dataset contains EVI-RoadTrip outputs, minute-by-minute load profiles in kW for each station in the simulation based on assumed utilization and network density. The load profiles are aggregated to lower spatial resolution (e.g., state-level, corridor-level) by summation of all station loads associated with the respective geography. This results in a load profile for each scenario that summarizes the corridor's, state's, or county's load profile in minute-level resolution.},
doi = {10.15483/2570907},
journal = {},
number = ,
volume = ,
place = {United States},
year = {Thu Jan 22 00:00:00 UTC 2026},
month = {Thu Jan 22 00:00:00 UTC 2026}
}
Save to My Library
You must Sign In or Create an Account in order to save documents to your library.