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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
grid electricity demand, electricity consumption, grid availability, Ecology, Information Systems not elsewhere classified, german case emobpy, vehicle time-series, 15- minutes time-resolution, german mobility statistics, Inorganic Chemistry, vehicle mobility, Medicine, dataset, Biotechnology, Biological Sciences not elsewhere classified
grid electricity demand, electricity consumption, grid availability, Ecology, Information Systems not elsewhere classified, german case emobpy, vehicle time-series, 15- minutes time-resolution, german mobility statistics, Inorganic Chemistry, vehicle mobility, Medicine, dataset, Biotechnology, Biological Sciences not elsewhere classified
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