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. 12, 2023

Filed:

Jun. 17, 2021
Applicant:

Shandong University, Jinan, CN;

Inventors:

Chenghui Zhang, Jinan, CN;

Che Liu, Jinan, CN;

Bo Sun, Jinan, CN;

Assignee:

Shandong University, Jinan, CN;

Attorneys:
Primary Examiner:
Assistant Examiner:
Int. Cl.
CPC ...
G06Q 10/00 (2023.01); G06Q 10/0631 (2023.01); G06N 20/00 (2019.01); G06N 7/08 (2006.01); G06Q 10/04 (2023.01); G06Q 50/06 (2012.01);
U.S. Cl.
CPC ...
G06Q 10/06315 (2013.01); G06N 7/08 (2013.01); G06N 20/00 (2019.01); G06Q 10/04 (2013.01); G06Q 50/06 (2013.01);
Abstract

The present disclosure provides a method and system for predicting building energy consumption based on a Holt-Winters and an extreme learning machine, the method including: constructing a building simulation model based on actual operation parameters of a building to obtain an original energy consumption data set of the building; decomposing the original energy consumption data set to obtain a linear energy consumption data set and a nonlinear energy consumption data set; performing prediction on the linear energy consumption data set by using a trained Holt-Winters model to obtain a linear energy consumption prediction result; and inputting the nonlinear energy consumption data set, the original energy consumption data set, and the linear energy consumption prediction result into a trained extreme learning machine model to output a building energy consumption prediction value of the building simulation model.


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