EV Daily Charging Load Profiles Estimations

These datasets are part of a conference paper submitted to 2026 IEEE PES General Meeting, titled: Data-Driven EV Charging Load Profile Estimation and Typical EV Daily Load Dataset Generation.The datasets include daily estimates for EV starting and ending charge times, duration, and energy drawn from charging event, that were statistically generated from data-driven analyses of real-world residential load data for customers with and without EV chargers registered. The load profile estimations, as well as the overall projected EV charging behaviors for residential customers, were validated by comparison with other sources for real-world EV charging data directly obtained from EV charging stations.These datasets are meant to serve as synthetic EV charging data that can be used for distribution systems planning for areas with high projected EV penetration, as well as for power system operations and economic dispatch considering additional EV charging load data.

本数据集隶属于一篇提交至2026年IEEE电力与能源协会（IEEE PES）全体大会的会议论文，论文标题为《数据驱动的电动汽车（Electric Vehicle, EV）充电负荷曲线估算与典型电动汽车日负荷数据集生成》。本数据集涵盖电动汽车充电起始时刻、终止时刻、充电时长以及单次充电事件消耗电能的日度估算值，此类数据通过对注册与未注册电动汽车充电桩的居民用户的实际用电负荷数据开展数据驱动分析后统计生成。该负荷曲线估算结果以及针对居民用户的电动汽车充电行为整体预测结果，均通过与直接从电动汽车充电站获取的真实电动汽车充电数据进行对比验证。本数据集可作为合成电动汽车充电数据集，适用于预测电动汽车渗透率较高地区的配电系统规划，同时也可用于开展考虑新增电动汽车充电负荷的电力系统运行与经济调度相关研究。