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:
Sep. 28, 2021

Filed:

Feb. 12, 2019
Applicant:

Nec Laboratories America, Inc., Princeton, NJ (US);

Inventors:

Ali Hooshmand, San Jose, CA (US);

Mehdi Assefi, Sunnyvale, CA (US);

Ratnesh Sharma, Freemont, CA (US);

Assignee:
Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G01R 31/367 (2019.01); G06N 3/08 (2006.01); G06N 3/04 (2006.01); H01M 10/42 (2006.01); G06N 20/20 (2019.01); G01R 31/382 (2019.01); G06F 17/18 (2006.01);
U.S. Cl.
CPC ...
G01R 31/367 (2019.01); G01R 31/382 (2019.01); G06F 17/18 (2013.01); G06N 3/0454 (2013.01); G06N 3/084 (2013.01); G06N 20/20 (2019.01); H01M 10/4285 (2013.01);
Abstract

A computer-implemented method predicting a life span of a battery storage unit by employing a deep neural network is presented. The method includes collecting energy consumption data from one or more electricity meters installed in a structure, analyzing, via a data processing component, the energy consumption data, removing one or more features extracted from the energy consumption data via a feature engineering component, partitioning the energy consumption data via a data partitioning component, and predicting battery capacity of the battery storage unit via a neural network component sequentially executing three machine learning techniques.


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