摘要
文章提出一种基于人工智能的方法,旨在提高电力计量误差的检测与校正效率。通过采用先进的机器学习算法,文章对大量电力计量数据进行深入分析,建立一个能自动识别和校正误差的智能系统。实验结果表明,该系统在检测异常值和校正系统性误差方面表现出色,具有较高的准确性和鲁棒性。此外,该系统还能适应不同的电力计量环境,为电力行业提供一种新的解决方案。
This paper proposes an artificial intelligence-based method to improve the detection and correction effi-ciency of power metering errors.By using advanced machine learning algorithms,this study deeply analyzes a large amount of power metering data and builds an intelligent system that can automatically identify and correct errors.The experimental results show that the system performs well in detecting outliers and correcting systematic errors with high accuracy and robustness.In addition,the system can adapt to different power metering environments,providing a new solution for the power industry.
作者
周海媚
Zhou Haimei(State Grid Shandong Electric Power Company Yantai Power Supply Company,Yantai 264000,China)
出处
《办公自动化》
2024年第21期60-62,共3页
Office Informatization
关键词
人工智能
电力计量
误差检测
误差校正
深度学习
机器学习
artificial intelligence
power metering
error detection
error correction
deep learning
machine learning
