Electric Vehicle Charging Dataset

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.

本电动汽车（EV）充电数据集涵盖某电动汽车充电停车场内的四类电动汽车充电相关信息：连接时刻、充电时长、能耗与日期编号，上述信息分别对应数据集中的connectionTime_decimal、chargingDuration、kWhDelivered及dayIndicator列。该数据集通过条件表格生成对抗网络（CTGAN）与核密度估计（KDE），基于加州理工学院（Caltech）数据集生成，旨在保留真实的负荷曲线、精准模拟电动汽车车主的充电行为，并留存数据集各列间的关联关系。本数据集涵盖29600天的电动汽车充电数据，而原始加州理工学院数据集仅包含185天的数据。该数据集可用于训练机器学习算法，尤其适用于强化学习算法的训练。连接时刻的取值范围为0至24，充电时长的单位为小时，能耗单位为千瓦时（kWh）。