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 11144021 B1

Expired

Date of Patent:

Oct. 12, 2021

Filed:

May. 09, 2017

Method and system for intelligently recommending control schemes optimizing peak energy consumption of built environment

Applicant:

Conectric, Llc, Lewes, DE (US);

Inventor:

Phillip Kopp, San Diego, CA (US);

Assignee:

CONECTRIC, LLC, Lewes, DE (US);

Attorney:

Procopio, Cory, Hargreaves & Savitch LLP

Primary Examiner:

Santosh R Poudel

Int. Cl.

CPC ...

G05B 19/42 (2006.01); G05B 19/042 (2006.01); G05B 15/02 (2006.01); G05F 1/66 (2006.01); H02J 3/14 (2006.01); G06F 17/18 (2006.01); H02J 3/00 (2006.01); G06Q 50/06 (2012.01); H02J 9/06 (2006.01); H02J 15/00 (2006.01); H02J 3/38 (2006.01); G06F 1/26 (2006.01); G06Q 10/06 (2012.01); H02J 13/00 (2006.01); F24F 11/62 (2018.01); F24F 11/30 (2018.01); G05B 13/04 (2006.01); G05B 23/02 (2006.01); H02J 50/80 (2016.01); H02J 3/32 (2006.01); G01R 1/36 (2006.01);

U.S. Cl.

CPC ...

G05B 19/042 (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 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 10/06312 (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 13/00001 (2020.01); H02J 13/00007 (2020.01); H02J 13/00009 (2020.01); H02J 13/00012 (2020.01); H02J 13/0017 (2013.01); H02J 13/00022 (2020.01); 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 10/56 (2013.01); Y02E 10/76 (2013.01); Y02E 40/70 (2013.01); Y02E 70/30 (2013.01); Y04S 10/123 (2013.01); Y04S 10/50 (2013.01); Y04S 20/222 (2013.01);

Abstract

The present disclosure provides a computer-implemented method for recommending 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 collection of a first set of statistical data, fetching of a second set of statistical data, accumulation of a third set of statistical data, reception of a fourth set of statistical data and gathering of fifth set of statistical data. Further, the computer-implemented method includes analysis of the first set of statistical data, the second set of statistical data, the third set of statistical data, the fourth set of statistical data and the fifth set of statistical data. In addition, the computer-implemented method includes recommendation of one or more control schemes to a plurality of energy consuming devices and a plurality of energy storage and supply means.

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