Electric Vehicle Charging Dataset

Published: 11 April 2024| Version 2 | DOI: 10.17632/5zrtmp7gwd.2
Nastaran Gholizadeh,


This electric vehicle (EV) charging dataset includes the EV connection time, charging duration, energy consumption, and day number each corresponding respectively to connectionTime_decimal, chargingDuration, kWhDelivered, dayIndicator columns in the dataset for an EV charging parking lot. The data is generated using conditional tabular generative adversarial networks (CTGAN) and kernel density estimation (KDE) from the Caltech dataset to maintain a realistic load profile, accurately model EV owner behaviors, and preserve the relationship between the columns of the dataset. This dataset includes EV data for 29,600 days while the original Caltech dataset includes data for only 185 days. This data can be useful in training machine learning algorithms, specifically, reinforcement learning algorithms. The connection time range is 0-24. The unit for charging duration is hour and energy consumption is in kWh.



University of Alberta


Electricity, Artificial Intelligence, Machine Learning, Electric Vehicles, Generative Adversarial Network, Generative Artificial Intelligence