SYSTEM AND METHOD FOR AUTOMATICALLY DETECTING ANOMALIES IN A POWER-USAGE DATA SET
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United States of America
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Mar 28, 2019
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Mar 28, 2019
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Abstract
A method is provided of detecting anomalies in a power-usage data set, comprising: receiving historical data regarding power usage in a building over a time period; receiving metrics for a plurality of categories related to the historical data; receiving rules for the plurality of categories; building a model for each of the plurality of categories via a processor, by transforming the historical data into a user-readable format based on the metrics, the model including a plurality of histograms; receiving observation data after building the model for each of the plurality of categories, the observation data including at least one data entry relating to power usage in the building during a time interval after the time period; and detecting at least one anomaly in at least one of the plurality of categories via the processor using the plurality of histograms, the observation data, and the rules.
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