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:
May. 02, 2017

Filed:

Jun. 06, 2014
Applicant:

General Electric Company, Schenectady, NY (US);

Inventors:

Yan Pan, Niskayuna, NY (US);

Sumit Bose, Niskayuna, NY (US);

Wei Ren, Niskayuna, NY (US);

Assignee:

General Electric Company, Niskayuna, NY (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06F 17/50 (2006.01); G01D 4/00 (2006.01); G06Q 10/04 (2012.01); G06Q 50/06 (2012.01);
U.S. Cl.
CPC ...
G06F 17/5036 (2013.01); G01D 4/002 (2013.01); G06Q 10/04 (2013.01); G06F 2217/78 (2013.01); G06Q 50/06 (2013.01); Y02B 90/241 (2013.01); Y02B 90/248 (2013.01); Y04S 20/32 (2013.01); Y04S 20/38 (2013.01); Y04S 20/52 (2013.01);
Abstract

A method for generating electric load models that includes receiving a plurality of measurements representative of input provided by a power source to electric loads is provided. The method includes generating a plurality of combination of model loads and assigning a contribution factor to each model load in each combination. The method further includes computing a match index for each combination for each measurement. The match index is computed by comparing a predicted output of each combination with an actual output generated by the electric loads for each input represented by each measurement. Furthermore, the method includes computing a first likelihood index for each combination based on the match index for each combination for the plurality of measurements. The method also includes computing a second likelihood index for each contribution factor in each combination based on the match index for each combination.


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