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Annual Load Dataset of Electric Vehicle Charging Stations
- Citation Author(s):
- Submitted by:
- Ziyu Xu
- Last updated:
- Sat, 12/28/2024 - 09:04
- DOI:
- 10.21227/5aeg-0w65
- Data Format:
- License:
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- Keywords:
Abstract
The charging load dataset are collected by a smart energy measurement system over a one-year period, with data recorded hourly from six Electric Vehicle Charging Stations (EVCSs) located in the city center of China. The data provides a full annual cycle of charging behaviors. The charging stations, labeled EVCS1 through EVCS6, have their loads reported in kilowatts (kW), with values recorded to four decimal places, ensuring high precision. Each row in the dataset includes a timestamp in the format of "YYYYMMDD," along with the charging load values for each EVCS, enabling a detailed analysis of temporal variations. This real-world dataset can be utilized for analyzing the operational patterns of EVCSs, optimizing charging infrastructure, and studying the impact of EV charging on the urban power grid.
The charging load dataset are collected by a smart energy measurement system over a one-year period, with data recorded hourly from six Electric Vehicle Charging Stations (EVCSs) located in the city center of China. The data provides a full annual cycle of charging behaviors. The charging stations, labeled EVCS1 through EVCS6, have their loads reported in kilowatts (kW), with values recorded to four decimal places, ensuring high precision. Each row in the dataset includes a timestamp in the format of "YYYYMMDD," along with the charging load values for each EVCS, enabling a detailed analysis of temporal variations. The dataset features both daily and hourly granularity, capturing fluctuations in charging load at the individual station level and across all six stations. This comprehensive time-series data offers a clear representation of seasonal, daily, and hourly charging patterns. This real-world dataset can be utilized for analyzing the operational patterns of EVCSs, optimizing charging infrastructure, and studying the impact of EV charging on the urban power grid.
