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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 10860959 B1

PDFFull Text
Expired
Date of Patent:
Dec. 08, 2020

Filed:

May. 09, 2017

Method and system for ranking control schemes optimizing peak loading conditions of built environment

Applicant:

Conectric, Llc, Lewes, DE (US);

Inventor:

Phillip Kopp, San Diego, CA (US);

Assignee:

CONECTRIC, LLC, Lewes, DE (US);

Attorneys:

Procopio, Cory, Hargreaves & Savitch LLP

Noel C. Gillespie

Primary Examiner:

Kenneth M Lo

Assistant Examiner:

Istiaque Ahmed

Int. Cl.
CPC ...
G06Q 10/06 (2012.01); G05B 15/02 (2006.01); G05F 1/66 (2006.01); H02J 3/14 (2006.01); G06F 17/18 (2006.01); G06Q 50/06 (2012.01); G05B 19/042 (2006.01); G05B 13/04 (2006.01); H02J 3/00 (2006.01); H02J 9/06 (2006.01); H02J 15/00 (2006.01); H02J 3/38 (2006.01); G06F 1/26 (2006.01); H02J 13/00 (2006.01); F24F 11/62 (2018.01); F24F 11/30 (2018.01); G05B 23/02 (2006.01); H02J 50/80 (2016.01); H02J 3/32 (2006.01); G01R 1/36 (2006.01);
U.S. Cl.
CPC ...
G06Q 10/06312 (2013.01); F24F 11/30 (2018.01); F24F 11/62 (2018.01); G01R 1/36 (2013.01); G05B 13/041 (2013.01); G05B 15/02 (2013.01); G05B 19/042 (2013.01); G05B 23/024 (2013.01); G05B 23/0243 (2013.01); G05B 23/0281 (2013.01); G05B 23/0294 (2013.01); G05F 1/66 (2013.01); G06F 1/26 (2013.01); G06F 17/18 (2013.01); G06Q 50/06 (2013.01); H02J 3/00 (2013.01); H02J 3/008 (2013.01); H02J 3/14 (2013.01); H02J 3/32 (2013.01); H02J 3/38 (2013.01); H02J 3/382 (2013.01); H02J 9/061 (2013.01); H02J 13/00012 (2020.01); H02J 13/0017 (2013.01); H02J 13/0075 (2013.01); H02J 13/0086 (2013.01); H02J 15/00 (2013.01); H02J 50/80 (2016.02); G05B 2219/24048 (2013.01); G05B 2219/2639 (2013.01); H02J 3/003 (2020.01); H02J 3/383 (2013.01); H02J 3/386 (2013.01); H02J 2203/20 (2020.01); H02J 2300/30 (2020.01); H02J 2310/64 (2020.01); Y02B 70/3225 (2013.01); Y02E 10/563 (2013.01); Y02E 10/566 (2013.01); Y02E 10/763 (2013.01); Y02E 40/72 (2013.01); Y02E 40/76 (2013.01); Y02E 70/30 (2013.01); Y04S 10/123 (2013.01); Y04S 10/54 (2013.01); Y04S 10/545 (2013.01); Y04S 10/60 (2013.01); Y04S 20/222 (2013.01); Y04S 20/224 (2013.01);
Abstract

The present disclosure provides a computer-implemented method for ranking one or more control schemes for controlling peak loading conditions and abrupt changes in energy pricing of one or more built environments associated with renewable energy sources. The computer-implemented method includes analysis of a first set of statistical data, a second set of statistical data, a third set of statistical data, a fourth set of statistical data and a fifth set of statistical data. Further, the computer-implemented method includes identification and execution of the one or more control schemes. In addition, the computer-implemented method includes scoring the one or more control schemes by evaluating a probabilistic score. Further, the computer-implemented method includes ranking the one or more control schemes to determine relevant control schemes for controlling real time peak loading conditions and abrupt changes in energy pricing associated with the one or more built environments.

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