A dataset for multi-faceted analysis of electric vehicle charging transactions-Reference-Cited by-同舟云学术

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

Published:2024-03-01 Issue:1 Volume:11 Page:
ISSN:2052-4463
Container-title:Scientific Data
language:en
Short-container-title:Sci Data

Author:

Baek Keon,Lee Eunjung^ORCID,Kim Jinho^ORCID

Abstract

AbstractThis 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.

Funder

Chosun University

Publisher

Springer Science and Business Media LLC

Link

https://www.nature.com/articles/s41597-024-02942-9.pdf

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