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. 16, 2019

Filed:

Apr. 04, 2017
Applicant:

Earth Networks, Inc., Germantown, MD (US);

Inventors:

Christopher Dale Sloop, Mount Airy, MD (US);

Michael Siemann, Bethesda, MD (US);

Steven Gabriel, Takoma Park, MD (US);

Assignee:

Whisker Labs, Inc., Germantown, MD (US);

Attorney:
Primary Examiner:
Assistant Examiner:
Int. Cl.
CPC ...
G06Q 50/06 (2012.01); G06Q 10/06 (2012.01); G05D 23/19 (2006.01); G05B 15/02 (2006.01); F24F 11/30 (2018.01); F24F 11/62 (2018.01); F24F 110/10 (2018.01); F24F 110/12 (2018.01); F24F 140/60 (2018.01); F24F 130/00 (2018.01); F24F 130/10 (2018.01); F24F 11/63 (2018.01); F24F 11/52 (2018.01);
U.S. Cl.
CPC ...
G06Q 50/06 (2013.01); F24F 11/30 (2018.01); F24F 11/62 (2018.01); G05B 15/02 (2013.01); G05D 23/1917 (2013.01); G05D 23/1923 (2013.01); G06Q 10/06313 (2013.01); F24F 11/52 (2018.01); F24F 11/63 (2018.01); F24F 2110/10 (2018.01); F24F 2110/12 (2018.01); F24F 2130/00 (2018.01); F24F 2130/10 (2018.01); F24F 2140/60 (2018.01); G05B 2219/2614 (2013.01); G05B 2219/2639 (2013.01); G05B 2219/2642 (2013.01); Y02P 90/82 (2015.11); Y04S 20/244 (2013.01);
Abstract

Described herein are methods and systems, including computer program products, for determining a load control schedule for energy control devices using a load shifting optimization model and applying the load control schedule to adjust the energy control devices. A server receives thermodynamic models, energy price data and energy load forecast data. The server generates price probability distribution curves based upon the price data and load probability distribution curves based upon the load forecast data. The server executes a load shifting optimization model to determine a profit probability distribution curve for demand response decision rules. The server determines a profit curve that has an optimal profit value. The server generates a load control schedule based upon the optimal profit curve and generates operational parameters for energy control devices using the load control schedule. The server transmits the operational parameters to the energy control devices to adjust operational parameters.


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