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DETECTING ELECTRICITY THEFT VIA METER TAMPERING USING STATISTICAL METHODS

  • US 20140358839A1
  • Filed: 09/13/2013
  • Published: 12/04/2014
  • Est. Priority Date: 06/04/2013
  • Status: Active Grant
First Claim
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1. A computer-implemented method for detecting anomalous energy usage amongst building and household entities, said method comprising:

  • receiving, at a computing system, data comprising energy usage data relating to a building'"'"'s actual energy use over a defined time period, characteristics data of the building, and weather data over one or more defined time periods;

    clustering buildings in one or more clusters as determined based on a building'"'"'s energy usage in each time period;

    identifying buildings having energy usage that migrate from one cluster to another cluster between time periods,generating a model to predict a building'"'"'s energy usage, said model defining expected bounds of energy consumption given time of day (shift) and weather and building characteristics data received;

    comparing energy usage for each building against an energy use predicted by the model for said building; and

    identifying, from said comparison, buildings whose electricity usage is not predicted by model;

    wherein said buildings identified as migrating from one cluster to another cluster between time periods, and said buildings exhibiting electricity usage not predicted by said generated model are flagged as anomalous energy usage entities.wherein a processing unit of said computer system is configured to perform said receiving, clustering, identifying of migrating buildings, model generating, comparing, and said identifying of buildings from said comparison.

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