Electricity Theft Detection Using Smart Meter Data

被引：0

作者：

Sahoo, Sanujit ^{[1
]}

Nikovski, Daniel ^{[2
]}

Muso, Toru ^{[3
]}

Tsuru, Kaoru ^{[3
]}

机构：

[1] Censio, Boston, MA 02111 USA

[2] Mitsubishi Elect Res Labs, Cambridge, MA USA

[3] Mitsubishi Electr Corp, Ofuna, Kamaruka, Japan

来源：

2015 IEEE POWER & ENERGY SOCIETY INNOVATIVE SMART GRID TECHNOLOGIES CONFERENCE (ISGT) | 2015年

关键词：

Electricity Theft Detection; Smart Meter; Predictive Model;

D O I：

暂无

中图分类号：

TE [石油、天然气工业]; TK [能源与动力工程];

学科分类号：

0807 ; 0820 ;

摘要：

Electricity theft is a major concern for the utilities. With the advent of smart meters, the frequency of collecting household energy consumption data has increased, making it possible for advanced data analysis, which was not possible earlier. We have proposed a temperature dependent predictive model which uses smart meter data and data from distribution transformer to detect electricity theft in an area. The model was tested for varying amounts of power thefts and also for different types of circuit approximations. The results are encouraging and the model can be used for real world application.

引用

页数：5

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