NFD:一种检测智能电网非技术损失欺诈的实用方案

Wenlin Han, Yang Xiao
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引用次数: 35

摘要

非技术损失(NTL)欺诈是困扰世界各地公用事业公司的一个普遍问题。以往的NTL研究大多依赖于用户行为监测、分析和特征提取。在本文中,我们提出了一个实用的方案,称为NTL欺诈检测(NFD),在不知道任何额外的客户信息的情况下检测NTL。提出的方案利用计费电量和实际耗电量之间的近似差值来区分被篡改的电表和正常的电表。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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.
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