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:
Jul. 14, 2015

Filed:

Mar. 12, 2012
Applicants:

Michael A. Madrazo, Escondido, CA (US);

Jack E. Mott, Idaho Falls, ID (US);

Michelle R. Keim, San Diego, CA (US);

Paul D. Mendoza, San Marcos, CA (US);

Inventors:

Michael A. Madrazo, Escondido, CA (US);

Jack E. Mott, Idaho Falls, ID (US);

Michelle R. Keim, San Diego, CA (US);

Paul D. Mendoza, San Marcos, CA (US);

Assignee:

Deteotent Inc., Escondido, CA (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06F 17/10 (2006.01); G05B 17/02 (2006.01);
U.S. Cl.
CPC ...
G05B 17/02 (2013.01); G05B 2219/2642 (2013.01);
Abstract

An apparatus, system, and method are disclosed for calibrating algorithms for determining electrical load and lifestyle characteristics. A model creation module creates an electrical usage model that includes an electrical device usage model for each electrical load assumed to be at simulated premises (an assumed load set). The simulated premises include characteristics from actual premises within an area serviced by an electric utility. A simulation module simulates a number of simulated electrical usages for a number of assumed load sets at the simulated premises. A load prediction module determines if a particular type of load is present within each simulated premises using a load prediction algorithm that includes algorithm parameters. An accuracy module determines an accuracy of the load prediction algorithm and an adjustment module adjusts the algorithm parameters of the load prediction algorithm in response to the determined accuracy.


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