一个数据集,用于对电动汽车充电交易的多方面的分析
Keon Baek1, Eunjung Lee2, Jinho Kim3
1Department of Electrical Engineering, Chosun University, Gwangju, 61452, Republic of Korea.
Scientific data
|March 1, 2024
概括
本研究介绍了电动汽车 (EV) 充电交易的新数据集. 这些数据支持对电力系统,电动汽车充电业务和基础设施规划的分析.
科学领域:
- 电气工程 电气工程
- 数据科学数据科学数据科学
- 能源系统 能源系统
背景情况:
- 电动汽车 (EV) 的日益普及需要有关充电行为的详细数据.
- 了解电动汽车充电模式对于电网稳定性和基础设施发展至关重要.
研究的目的:
- 发布一个关于电动汽车充电交易的全面数据集.
- 为了促进从电动汽车充电器和用户的角度进行多方面的分析.
- 支持电力系统,电动汽车充电服务和基础设施投资的规划.
主要方法:
- 通过机器对机器无线通信与中断处理获得的数据.
- 收集的数据涵盖了收费公司的整个年度商业运营期.
- 数据集包括会话详细信息,用户标识符和充电器位置类别.
主要成果:
- 数据集包括72,856个充电会话.
- 数据包括2,337个独特的电动汽车用户和2,119个独特的充电器.
- 新收集的数据提供了对现实世界电动汽车充电操作的见解.
结论:
- 该数据集对各种应用非常有价值,包括电力系统运行和市场设计.
- 促进电动汽车充电服务企业和充电器定位的知情决策.
- 支持电动汽车相关基础设施的长期投资规划.
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