C3.ai, Inc.

C3 Iot, Inc.

Avid Boustani

Henrik Ohlsson

Thomas M Siebel

Nikhil Krishnan

Edward Y Abbo

Houman Behzadi

Kuenley Chiu

Louis Poirier

Zico Kolter

Jeremy Zico Kolter

Various embodiments of the present disclosure can include systems, methods, and non-transitory computer readable media configured to select a set of signals relating toa 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.

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

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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Redwood City, CA, United States of America

Avid Boustani