Systems and methods for utilizing machine learning to identify non-technical loss

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United States of America Patent

PATENT NO 11449315
APP PUB NO 20190340535A1
SERIAL NO

16376976

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Abstract

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Various embodiments of the present disclosure can include systems, methods, and non-transitory computer readable media configured to select a set of signals relating to a plurality of energy usage conditions. Signal values for the set of signals can be determined. Machine learning can be applied to the signal values to identify energy usage conditions associated with non-technical loss.

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Patent Owner(s)

Patent OwnerAddress
C3 AI INC1300 SEAPORT BLVD STE 500 REDWOOD CITY CA 94063

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Inventor(s)

Inventor Name Address # of filed Patents Total Citations
Abbo, Edward Y Woodside, US 11 1256
Behzadi, Houman San Francisco, US 15 1600
Boustani, Avid Redwood City, US 3 10
Chiu, Kuenley San Francisco, US 6 36
Kolter, Zico Pittsburgh, US 8 41
Krishnan, Nikhil Los Altos, US 24 64
Ohlsson, Henrik San Francisco, US 23 80
Poirier, Louis San Francisco, US 8 46
Siebel, Thomas M Woodside, US 16 1269

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