emobpy: application for the German case
Carlos Gaete-Morales · Zenodo (CERN European Organization for Nuclear Research) · 2021
emobpy is a tool developed to generate electric vehicle time-series based on empirical data. This dataset is provided as an exemplary implementation of emobpy by taking into account the german mobility statistics. The dataset consists of four different time-series: vehicle mobility, driving electricity consumption, grid availability and grid electricity demand. We deliver the time-series in two time-resolutions—an hourly time-resolution resulting from aggregating the 15-minutes time-series. The 15-minutes time-resolution is the original form that emobpy generates the time-series. Two hundred electric vehicle have been simulated over a year of time-horizon. For more details, please, consult the following link: https://arxiv.org/abs/2005.02765v2