Analysis of Machine Learning Based Anomaly Detection and Rapid Localization for Distribution Lines
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 power grid.
万方数据
维普
