今日自动化2024,Issue(1) :129-131.

电能计量异常处理方案的研究与分析

Research and Analysis of Abnormal Handling Schemes for Electric Energy Measurement

周凤华
今日自动化2024,Issue(1) :129-131.

电能计量异常处理方案的研究与分析

Research and Analysis of Abnormal Handling Schemes for Electric Energy Measurement

周凤华1
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作者信息

  • 1. 国网冀北电力有限公司承德供电公司,河北承德 067000
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摘要

电力作为人们日常生产和生活的主要能源之一,其计量的准确性和稳定性直接关系到多方的经济利益.为提高电能计量准确性,文章提出了一种基于改进孤立森林算法的电能计量异常检测方法,并将该方法与未改进的孤立森林算法进行了实验对比,实验证明,文章提出的方法在电能计量异常检测中有着更好的性能.

Abstract

As one of the main energy sources for industrial,agricultural,and commercial production as well as daily life of residents,the accuracy and stability of electricity measurement are directly related to the economic interests of multiple parties.To improve the accuracy of electricity metering,the article proposes a metering anomaly detection method based on an improved isolated forest algorithm,and compares this method with the unimproved isolated forest algorithm through experiments.The results show that the proposed method has better performance in metering anomaly detection.

关键词

计量异常/电能计量/数据采集/孤立森林

Key words

abnormal measurement/electricity metering/data collection/isolated forest

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出版年

2024
今日自动化

今日自动化

ISSN:
参考文献量5
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