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. 21, 2017

Filed:

Feb. 04, 2016
Applicant:

Johnson Controls Technology Company, Holland, MI (US);

Inventors:

Kirk H. Drees, Cedarburg, WI (US);

James P. Kummer, Wales, WI (US);

Michael J. Wenzel, Oak Creek, WI (US);

Assignee:
Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06F 7/60 (2006.01); G06F 17/10 (2006.01); G05B 13/04 (2006.01); G06Q 10/06 (2012.01); G06Q 50/06 (2012.01); G05F 1/66 (2006.01); G06F 17/50 (2006.01); H02J 13/00 (2006.01); H02J 3/00 (2006.01);
U.S. Cl.
CPC ...
G05B 13/048 (2013.01); G05F 1/66 (2013.01); G06F 17/5009 (2013.01); G06Q 10/06 (2013.01); G06Q 50/06 (2013.01); H02J 13/0013 (2013.01); H02J 2003/003 (2013.01); H02J 2003/007 (2013.01); Y02B 90/2607 (2013.01); Y02E 60/76 (2013.01); Y04S 10/54 (2013.01); Y04S 40/12 (2013.01); Y04S 40/22 (2013.01);
Abstract

A building management system (BMS) includes a baseline model generator configured to receive an initial set of predictor variables for potential use in an energy usage model for a building, generate a first set of coefficients for the baseline energy usage model based on the initial set of predictor variables, remove one of the predictor variables from the initial set of predictor variables to create a subset of the initial set of predictor variables, generate a second set of coefficients for the baseline energy usage model based on the subset of the initial set of predictor variables, calculate a test statistic for the removed variable using a difference between the first set of coefficients and the second set of coefficients, and automatically select the removed predictor variable for use in the baseline energy usage model in response the test statistic exceeding a critical value.


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