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:
Feb. 28, 2017

Filed:

Dec. 06, 2013
Applicant:

Institute for Information Industry, Taipei, TW;

Inventor:

Jing-Tian Sung, Taipei, TW;

Assignee:
Attorney:
Primary Examiner:
Assistant Examiner:
Int. Cl.
CPC ...
G06F 9/44 (2006.01); G06N 7/02 (2006.01); G06N 7/06 (2006.01); G06N 7/00 (2006.01); G06N 7/04 (2006.01); G06N 99/00 (2010.01); G06N 5/04 (2006.01);
U.S. Cl.
CPC ...
G06N 7/005 (2013.01); G06N 5/04 (2013.01); G06N 5/048 (2013.01); G06N 7/04 (2013.01); G06N 99/005 (2013.01);
Abstract

An apparatus, a method, and a non-transitory computer readable storage medium thereof for recommending an electricity consumption behavior are provided. The apparatus is stored with an appliance efficiency value and an electricity-consuming parameter value for each of a plurality of users. The apparatus generates a plurality of first temporary values by multiplying each of the appliance efficiency values with each of the electricity-consuming parameters, generates a power saving matrix by subtracting each of the electricity-consuming parameters from each of the electricity-consuming parameters individually, generates a changing willingness matrix by the second temporary values, calculates a transform probability matrix by the power saving matrix and the changing willingness matrix, calculates an eigenvalue and an eigenvector of the transform probability matrix, and recommends an electricity consumption behavior according to the eigenvalue and the eigenvector.


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