Description
This dataset includes yearlong, one-minute resolution time series profiles for the big box retail grocery stores stores simulated in Phoenix, Houston, Denver, and Minneapolis, as well as electric vehicle charging time series profiles for the various ports, charging levels, and station utilizations produced for the study "Impact of electric vehicle charging on the power demand of retail buildings", published in 2021 (https://doi.org/10.1016/j.adapen.2021.100062). Please cite as: Gilleran, M., Bonnema, E., Woods, J. et al. Impact of electric vehicle charging on the power demand of retail buildings. Advances in Applied Energy 4, (2021). https://doi.org/10.1016/j.adapen.2021.100062
Resources
| Name | Format | Description | Link |
|---|---|---|---|
| Yearlong, one-minute resolution time series profiles for the big box retail grocery stores stores simulated in Phoenix, Houston, Denver, and Minneapolis. | Binary | Yearlong, one-minute resolution time series profiles for the big box retail grocery stores stores simulated in Phoenix, Houston, Denver, and Minneapolis. | Open resource |
| Yearlong, one-minute resolution time series profiles for electric vehicle stations with various ports, charging levels, and station utilizations. Each csv is labeled: 'ev_station_xport_ykW_zevent.csv', where x is the number of ports at the station, y is the power level per port, and z is the number of charging events per port per day. | Binary | Yearlong, one-minute resolution time series profiles for electric vehicle stations with various ports, charging levels, and station utilizations. Each csv is labeled: 'ev_station_xport_ykW_zevent.csv', where x is the number of ports at the station, y is the power level per port, and z is the number of charging events per port per day. | Open resource |
| https://doi.org/10.1016/j.adapen.2021.100062 | Unknown | https://doi.org/10.1016/j.adapen.2021.100062 | Open resource |