Detecting electricity theft via meter tampering using statistical methods

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United States of America Patent

PATENT NO 9600773
APP PUB NO 20140358839A1
SERIAL NO

14026695

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Abstract

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A method for detecting anomalous energy usage of building or household entities. The method applies a number of successively stringent anomaly detection techniques to isolate households that are highly suspect for having engaged in electricity theft via meter tampering. The system utilizes historical time series data of electricity usage, weather, and household characteristics (e.g., size, age, value) and provides a list of households that are worthy of a formal theft investigation. Generally, raw utility usage data, weather history data, and household characteristics are cleansed, and loaded into an analytics data mart. The data mart feeds four classes of anomaly detection algorithms developed, with each analytic producing a set of households suspected of having engaged in electricity theft. The system allows a user to select households from each list or a set based on the intersection of all individual sets.

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Patent Owner(s)

  • INTERNATIONAL BUSINESS MACHINES CORPORATION

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Inventor(s)

Inventor Name Address # of filed Patents Total Citations
Dhurandhar, Amit Yorktown Heights, US 36 195
Kalagnanam, Jayant R Tarrytown, US 66 937
Siegel, Stuart A Milburn, US 12 77
Zhu, Yada White Plains, US 52 381

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