A dataset for multi-faceted analysis of electric vehicle charging transactions

被引：10

作者：

Baek, Keon ^{[1
]}

Lee, Eunjung ^{[2
]}

Kim, Jinho ^{[3
]}

机构：

[1] Chosun Univ, Dept Elect Engn, Gwangju 61452, South Korea

[2] Gwangju Inst Sci & Technol, Res Inst Solar & Sustainable Energies, Gwangju 61005, South Korea

[3] Gwangju Inst Sci & Technol, Sch Energy Convergence, Gwangju 61005, South Korea

来源：

SCIENTIFIC DATA | 2024年 / 11卷 / 01期

关键词：

D O I：

10.1038/s41597-024-02942-9

中图分类号：

O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];

学科分类号：

07 ; 0710 ; 09 ;

摘要：

This study discloses a dataset of electric vehicles' (EVs') charging transactions at a scale for multi-faceted analysis from both EV charger and user perspectives. The data comprises whole sessions that occurred during a charging operation company's annual commercial operation period, specifically including identifiers and charger location categories. For data acquisition, machine-to-machine wireless communication system with proper retransmission for interruption is utilised. The entire dataset is newly collected and is available with 72,856 sessions from 2,337 EV users and 2,119 chargers. The dataset can be used in a variety of ways for the functioning of power systems and markets, including EV charging service businesses, charger installation siting, demand transaction market design, and long-term investment planning of EV-related infrastructure.

引用

页数：11

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