TR2015-005

Electricity Theft Detection Using Smart Meter Data


    •  Sahoo, S., Nikovski, D.N., Muso, T., Tsuru, K., "Electricity Theft Detection Using Smart Meter Data", IEEE PES Innovative Smart Grid Technologies Conference (ISGT), February 2015.
      BibTeX TR2015-005 PDF
      • @inproceedings{Sahoo2015feb,
      • author = {Sahoo, S. and Nikovski, D.N. and Muso, T. and Tsuru, K.},
      • title = {Electricity Theft Detection Using Smart Meter Data},
      • booktitle = {IEEE PES Innovative Smart Grid Technologies Conference (ISGT)},
      • year = 2015,
      • month = feb,
      • url = {https://www.merl.com/publications/TR2015-005}
      • }
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  • Research Area:

    Data Analytics

Abstract:

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.