电测与仪表2024,Vol.61Issue(7):211-217,7.DOI:10.19753/j.issn1001-1390.2024.07.030
基于非侵入式负荷监测的反窃电预警方法
Anti-electricity theft alarming method based on non-intrusive load monitoring
摘要
Abstract
In order to achieve electricity theft detection,this paper proposes an anti-electricity theft alarming meth-od based on non-intrusive load monitoring through the analysis of electricity consumption behavior of users.In this method,the commonly-used process is carried out,including the load event detection,feature extraction and mean-shift clustering method,so as to obtain the load features,categories and other information of users.The dataset of load category comparison and the probability prediction model of electricity theft detection are built.Meanwhile,according to the electricity theft detection model,the prediction is performed by the information,including the load switching event,the length of load work and the energy consumption.The Bayes theory is then introduced to infer whether its electrical consumption behavior is normal or not.The experiments are carried out by using the real in-formation from the smart meter.The results show that the proposed method can provide the basis and support for the electricity theft detection,which lays a foundation for the application of anti-electricity theft of a new generation smart meter.关键词
反窃电/负荷监测/贝叶斯/非侵入式Key words
anti-electricity stealing/load monitoring/Bayes/non-intrusive分类
信息技术与安全科学引用本文复制引用
黄荣国,都正周,杨艺宁,王聪..基于非侵入式负荷监测的反窃电预警方法[J].电测与仪表,2024,61(7):211-217,7.基金项目
国家电网有限公司总部科技项目(JLB17201800232) (JLB17201800232)