基于机器学习的配电线路异常检测与快速定位技术分析

Analysis of Machine Learning Based Anomaly Detection and Rapid Localization for Distribution Lines

阐述配电线路异常检测与快速定位的特点,分析基于机器学习的配电线路异常检测与快速定位技术应用方法,包括数据采集与预处理、模型建立、异常监测、快速定位,以保障电网稳定与安全。

This paper describes the characteristics of abnormal detection and rapid positioning of distribution lines,and analyzes the application methods of machine learning based abnormal detection and rapid positioning technology for distribution lines,including data acquisition and preprocessing,model establishment,abnormal monitoring,and rapid positioning,to ensure the stability and safety of the powergrid.