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The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.

The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.

Patent No.:

US 12775452 B1

PDFFull Text
Date of Patent:
Oct. 27, 2026

Filed:

Oct. 23, 2023

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

Applicant:

C3.ai, Inc., Redwood City, CA (US);

Inventors:

Thomas M. Siebel, Woodside, CA (US);

Edward Y. Abbo, Woodside, CA (US);

Houman Behzadi, San Francisco, CA (US);

Avid Boustani, Redwood City, CA (US);

Nikhil Krishnan, Los Altos, CA (US);

Kuenley Chiu, San Francisco, CA (US);

Henrik Ohlsson, San Francisco, CA (US);

Louis Poirier, San Francisco, CA (US);

Jeremy Kolter, Pittsburgh, PA (US);

Assignee:

C3.ai, Inc., Redwood City, CA (US);

Attorney:

Nicholson De Vos Webster & Elliott LLP

Primary Examiner:

Congvan Tran

Int. Cl.
CPC ...
G06F 8/34 (2018.01); G01R 21/00 (2006.01); G06N 20/00 (2019.01); G06Q 50/06 (2012.01); H04B 17/391 (2015.01); H04W 52/04 (2009.01);
U.S. Cl.
CPC ...
G06F 8/34 (2013.01); G01R 21/00 (2013.01); G06N 20/00 (2019.01); G06Q 50/06 (2013.01); H04B 17/391 (2015.01); H04W 52/04 (2013.01);
Abstract

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.

Find Patent Forward Citations

Siebel, Thomas. (2026). Systems and methods for utilizing machine learning to identify non-technical loss (U.S. Patent No. 12775452). U.S. Patent and Trademark Office. https://idiyas.com/patent/badge/12775452

Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile

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