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:
Aug. 19, 2014

Filed:

Jan. 13, 2012
Applicants:

Raiford Smith, Mooresville, NC (US);

Melanie Miller, York, SC (US);

Pedram Mohseni, Charlotte, NC (US);

David Masters, Kannapolis, NC (US);

Inventors:

Raiford Smith, Mooresville, NC (US);

Melanie Miller, York, SC (US);

Pedram Mohseni, Charlotte, NC (US);

David Masters, Kannapolis, NC (US);

Assignee:

Duke Energy Corporation, Charlotte, NC (US);

Attorney:
Primary Examiner:
Assistant Examiner:
Int. Cl.
CPC ...
G01R 19/25 (2006.01); G01R 21/00 (2006.01); G01R 21/06 (2006.01); G05B 11/32 (2006.01); G05B 13/02 (2006.01); G05B 13/04 (2006.01); G05D 3/12 (2006.01); G06F 9/44 (2006.01); G06Q 50/06 (2012.01); H02J 3/00 (2006.01); H02J 3/14 (2006.01); G01R 22/06 (2006.01); H02J 13/00 (2006.01);
U.S. Cl.
CPC ...
G01R 19/2513 (2013.01); G01R 22/06 (2013.01); G05B 11/32 (2013.01); G05B 13/02 (2013.01); G05B 13/024 (2013.01); G05B 13/042 (2013.01); G06F 8/24 (2013.01); G06F 9/4428 (2013.01); G06F 9/443 (2013.01); G06F 9/4433 (2013.01); G06Q 50/06 (2013.01); H02J 3/14 (2013.01); H02J 13/0086 (2013.01);
Abstract

Various embodiments are directed to systems and methods for optimizing energy use with one or more optimization engine objects. An optimization engine object may have a plurality of dependent objects including at least a dependent optimization engine object, or at least one of a supply-side or demand-side object. The optimization engine object may receive dependent object attribute data from each of the at least one dependent objects; determine an optimal configuration for the plurality of dependent objects over the first time period subject to at least one optimization constraint; and conditioned upon the optimization engine depending from a superior optimization engine, transmit a net energy usage associated with the optimal configuration to the superior optimization engine.


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