{"title":"NFD:一种检测智能电网非技术损失欺诈的实用方案","authors":"Wenlin Han, Yang Xiao","doi":"10.1109/ICC.2014.6883385","DOIUrl":null,"url":null,"abstract":"Non-Technical Loss (NTL) fraud is a consistent problem harassing utility companies all over the world. Most of the previous researches on NTL depend fully on user behaviour monitoring, analysis, and feature extraction. In this paper, we propose a practical scheme, named NTL Fraud Detection (NFD), to detect NTL without knowing any extra information about customers. The proposed scheme differentiates tampered meters from normal meters using the approximated difference between the billing electricity and the actually consumed electricity.","PeriodicalId":444628,"journal":{"name":"2014 IEEE International Conference on Communications (ICC)","volume":"6 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2014-06-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"35","resultStr":"{\"title\":\"NFD: A practical scheme to detect non-technical loss fraud in smart grid\",\"authors\":\"Wenlin Han, Yang Xiao\",\"doi\":\"10.1109/ICC.2014.6883385\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Non-Technical Loss (NTL) fraud is a consistent problem harassing utility companies all over the world. Most of the previous researches on NTL depend fully on user behaviour monitoring, analysis, and feature extraction. In this paper, we propose a practical scheme, named NTL Fraud Detection (NFD), to detect NTL without knowing any extra information about customers. The proposed scheme differentiates tampered meters from normal meters using the approximated difference between the billing electricity and the actually consumed electricity.\",\"PeriodicalId\":444628,\"journal\":{\"name\":\"2014 IEEE International Conference on Communications (ICC)\",\"volume\":\"6 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2014-06-10\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"35\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2014 IEEE International Conference on Communications (ICC)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICC.2014.6883385\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2014 IEEE International Conference on Communications (ICC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICC.2014.6883385","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
NFD: A practical scheme to detect non-technical loss fraud in smart grid
Non-Technical Loss (NTL) fraud is a consistent problem harassing utility companies all over the world. Most of the previous researches on NTL depend fully on user behaviour monitoring, analysis, and feature extraction. In this paper, we propose a practical scheme, named NTL Fraud Detection (NFD), to detect NTL without knowing any extra information about customers. The proposed scheme differentiates tampered meters from normal meters using the approximated difference between the billing electricity and the actually consumed electricity.