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.

Patent No.:

US 7225089 B1

PDF
Full Text
Expired
Date of Patent:
May. 29, 2007

Filed:

Jun. 10, 2005
Applicants:

Charles H. Culp, College Station, TX (US);

David E. Claridge, College Station, TX (US);

Jeffrey S. Haberl, College Station, TX (US);

William D. Turner, College Station, TX (US);

Inventors:

Charles H. Culp, College Station, TX (US);

David E. Claridge, College Station, TX (US);

Jeffrey S. Haberl, College Station, TX (US);

William D. Turner, College Station, TX (US);

Assignee:

The Texas A&M University System, College Station, TX (US);

Attorney:
Primary Examiner:
Assistant Examiner:
Int. Cl.
CPC ...
G06F 7/38 (2006.01);
U.S. Cl.
CPC ...
Abstract

A system for remote energy consumption system identification of a facility includes a processor, and a memory coupled to the processor. The system also includes an energy consumption database accessible by the processor. The energy consumption database includes aggregated energy consumption data associated with the facility. The system also includes a facility database accessible by the processor. The facility database includes facility data associated with the facility. The system further includes an external variable database accessible by the processor. The external variable database includes external variable data corresponding to the energy consumption data. The system also includes an analysis engine residing in the memory and executable by the processor. The analysis engine is operable to generate disaggregated energy consumption data using the aggregated energy consumption data, the facility data, and the external variable data, and identify an energy consumption system of the facility using the disaggregated energy consumption data.


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