Prediction and analysis of relative error in electric vehicle charging stations based on an improved ConvFormer model-Reference-Cited by-同舟云学术

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Prediction and analysis of relative error in electric vehicle charging stations based on an improved ConvFormer model

Published:2024-08 Issue:16 Volume:10 Page:e35840
ISSN:2405-8440
Container-title:Heliyon
language:en
Short-container-title:Heliyon

Author:

Chen Liwen,Liu Zhibin,Yu Qingquan^ORCID,Jiang Xing,Zhang Huanghui,Lin Xin

Publisher

Elsevier BV

Reference21 articles.

1. As of the end of 2022, the accumulated number of charging infrastructure reached 5.21 million units;Zheng;Auto World,2023

2. Design and Implementation of Intelligent Status Monitoring System for Electric Vehicle Charging piles[D];Yahao,2020

3. Research on Intelligent Charging Pile Status Classification and Fault Prediction Based on Big Data [D];He,2022

4. Reflections on the new model of calibration for electric vehicle charging piles;Ye;China Quality Supervision,2021

5. Comprehensive performance evaluation of electric vehicle charging stations;Liu;J. North China Electr. Power Univ. (Soc. Sci.),2017

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