Research on the Error Estimation Method for Electric Energy Meters of Electric Vehicle Charging Piles based on Deep Learning Cover

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Research on the Error Estimation Method for Electric Energy Meters of Electric Vehicle Charging Piles based on Deep Learning

Measurement Science Review

Volume 25 (2025): Issue 1 (February 2025)

By: Juan Wang, Wei Liu, Yong Zhang, Zhi Liu, Xiaolei Zheng, Yuxin Wang, Jianshu Hao and Xuanding Dai

Open Access

|Apr 2025

Authors

Juan Wang

Inner Mongolia Electric Power (Group) Co., Ltd. Baotou Branch, Baotou, China

Wei Liu

Inner Mongolia Electric Power (Group) Co., Ltd. Baotou Branch, Baotou, China

Yong Zhang

Inner Mongolia Electric Power (Group) Co., Ltd. Baotou Branch, Baotou, China

Zhi Liu

Inner Mongolia Electric Power (Group) Co., Ltd. Baotou Branch, Baotou, China

Xiaolei Zheng

Inner Mongolia Electric Power (Group) Co., Ltd. Baotou Branch, Baotou, China

Yuxin Wang

Inner Mongolia Electric Power (Group) Co., Ltd. Baotou Branch, Baotou, China

Jianshu Hao

Inner Mongolia Electric Power (Group) Co., Ltd. Baotou Branch, Baotou, China

Xuanding Dai

daixdhz@foxmail.com

College of Metrology Measurement and Instrument, China Jiliang University, Hangzhou, China

DOI: https://doi.org/10.2478/msr-2025-0006 | Journal eISSN: 1335-8871

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Language: English

Page range: 40 - 47

Submitted on: May 10, 2024

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Accepted on: Mar 3, 2025

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Published on: Apr 15, 2025

Published by: Slovak Academy of Sciences, Institute of Measurement Science

In partnership with: Paradigm Publishing Services

Publication frequency: Volume open

Keywords:

electric vehicle charging piles,

highway network,

convolutional neural network,

bidirectional long short-term memory network,

relative error estimation

Related subjects:

Electrical engineering,

Control engineering, metrology and testing

© 2025 Juan Wang, Wei Liu, Yong Zhang, Zhi Liu, Xiaolei Zheng, Yuxin Wang, Jianshu Hao, Xuanding Dai, published by Slovak Academy of Sciences, Institute of Measurement Science
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.

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