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.

Date of Patent:
Aug. 13, 2019

Filed:

Sep. 23, 2015
Applicants:

International Business Machines Corporation, Armonk, NY (US);

Universiti Brunei Darussalam, Gadong, BN;

Inventors:

Sambaran Bandyopadhyay, West Bengal, IN;

Zainul Charbiwala, Bangalore, IN;

Tanuja Ganu, Bangalore, IN;

Pg Dr M. Iskandar Pg Hj Petra, Jalan Muara, BN;

Attorney:
Primary Examiner:
Assistant Examiner:
Int. Cl.
CPC ...
G01R 22/10 (2006.01); G01D 4/00 (2006.01); G01R 19/25 (2006.01); G01R 22/06 (2006.01);
U.S. Cl.
CPC ...
G01R 22/10 (2013.01); G01D 4/004 (2013.01); G01R 19/2513 (2013.01); G01R 22/063 (2013.01); G01R 22/066 (2013.01); Y02B 90/242 (2013.01); Y04S 20/322 (2013.01);
Abstract

Methods, systems, and computer program products for detecting losses in electrical networks are provided herein. A computer-implemented method includes computing a consumption estimation for each consumer associated with a network; determining a difference between (i) the consumption estimation and (ii) actual consumption for each consumer; clustering the consumers into a cluster based on a consumption pattern associated with each consumer; determining a level of deviation of (i) the consumption pattern associated with each consumer from (ii) a consumption pattern representative of the cluster; clustering the consumers into two or more clusters based on a consumption pattern during a first interval of time and during a second interval of time; determining, for each consumer, a level of evolution from (i) a first cluster during the first interval to (ii) a second cluster during the second interval; and identifying consumers associated with a given loss within the network.


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