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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 12140920 B1

PDFFull Text
Date of Patent:
Nov. 12, 2024

Filed:

Jun. 15, 2023

Intelligent orchestration systems for energy and power management of heterogeneous energy-related systems and devices

Applicant:

Strong Force EE Portfolio 2022, Llc, Fort Lauderdale, FL (US);

Inventors:

Charles H. Cella, Pembroke, MA (US);

Andrew Cardno, San Diego, CA (US);

Assignee:

Strong Force EE Portfolio 2022, LLC, Fort Lauderdale, FL (US);

Attorney:

Miller Johnson

Primary Examiner:

Mohammad Ali

Assistant Examiner:

Saad M Kabir

Int. Cl.
CPC ...
G05B 19/042 (2006.01); G01R 21/133 (2006.01); G05B 13/02 (2006.01); G06N 3/08 (2023.01); G06N 5/043 (2023.01); G06N 10/00 (2022.01); G06N 20/00 (2019.01); G06Q 30/018 (2023.01); G06Q 50/02 (2012.01); G06Q 50/26 (2012.01); H02J 3/00 (2006.01); H02J 3/32 (2006.01); H02J 3/38 (2006.01); H02J 13/00 (2006.01); H04L 41/0833 (2022.01); H04L 41/14 (2022.01); H04L 41/16 (2022.01); G06F 30/27 (2020.01); G06Q 50/06 (2012.01);
U.S. Cl.
CPC ...
G05B 19/042 (2013.01); G01R 21/133 (2013.01); G05B 13/0265 (2013.01); G06N 3/08 (2013.01); G06N 5/043 (2013.01); G06N 10/00 (2019.01); G06N 20/00 (2019.01); G06Q 30/018 (2013.01); G06Q 50/02 (2013.01); G06Q 50/26 (2013.01); H02J 3/003 (2020.01); H02J 3/004 (2020.01); H02J 3/32 (2013.01); H02J 3/381 (2013.01); H02J 13/00001 (2020.01); H02J 13/00002 (2020.01); H04L 41/0833 (2013.01); H04L 41/145 (2013.01); H04L 41/16 (2013.01); G05B 2219/2639 (2013.01); G06F 30/27 (2020.01); G06Q 50/06 (2013.01); G06Q 2220/00 (2013.01); H02J 2203/10 (2020.01); H02J 2203/20 (2020.01); H02J 2300/40 (2020.01);
Abstract

Disclosed herein are AI-based platforms for enabling intelligent orchestration and management of power and energy. In various embodiments, a set of edge devices includes a set of artificial intelligence systems that are configured to process data handled by the edge devices and determine, based on the data, a mix of energy generation, storage, delivery and/or consumption characteristics for a set of systems that are in local communication with the edge devices and to output a data set that represents the constituent proportions of the mix. In some embodiments, the output data set indicates a fraction of energy generated by an energy grid and a fraction of energy generated by a set of distributed energy resources that operate independently of the energy grid. In some embodiments, the output data set indicates a fraction of energy generated by renewable energy resources and a fraction of energy generated by nonrenewable resources.

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