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:
Dec. 20, 2022

Filed:

Jun. 19, 2018
Applicant:

Siemens Aktiengesellschaft, Munich, DE;

Inventors:

Jiaxing Pi, Weehawken, NJ (US);

Phan Minh Nguyen, Stanford, CA (US);

Sindhu Suresh, Monroe Township, NJ (US);

Assignee:
Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06E 1/00 (2006.01); G06E 3/00 (2006.01); G06Q 50/06 (2012.01); G06F 16/2458 (2019.01); H02J 13/00 (2006.01); H02J 3/00 (2006.01); G01R 21/133 (2006.01); G01W 1/02 (2006.01); G06N 3/04 (2006.01); G06N 3/08 (2006.01); G06Q 30/02 (2012.01); H02J 3/38 (2006.01);
U.S. Cl.
CPC ...
G06Q 50/06 (2013.01); G01R 21/1333 (2013.01); G01W 1/02 (2013.01); G06F 16/2474 (2019.01); G06N 3/04 (2013.01); G06N 3/08 (2013.01); G06Q 30/0205 (2013.01); H02J 3/0012 (2020.01); H02J 13/00002 (2020.01); H02J 13/00034 (2020.01); H02J 3/381 (2013.01); H02J 2300/22 (2020.01); H02J 2300/28 (2020.01);
Abstract

A computer-implemented method for power grid anomaly detection using a convolutional neural network (CNN) trained to detect anomalies in electricity demand data and electricity supply data includes receiving (i) electricity demand data comprising time series measurements of consumption of electricity by a plurality of consumers, and (ii) electricity supply data comprising time series measurements of availability of electricity by one or more producers. An input matrix is generated that comprises the electricity demand data and the electricity supply data. The CNN is applied to the input matrix to yield a probability of anomaly in the electricity demand data and the electricity supply data. If the probability of anomaly is above a threshold value, an alert message is generated for one or more system operators.


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