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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 12339635 B1

PDFFull Text
Date of Patent:
Jun. 24, 2025

Filed:

Jun. 15, 2023

Intelligent orchestration systems for energy and power management of edge 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); G05B 13/04 (2006.01); G06F 1/26 (2006.01); G06N 3/08 (2023.01); G06N 5/043 (2023.01); G06N 10/00 (2022.01); G06N 20/00 (2019.01); G06Q 10/067 (2023.01); G06Q 30/018 (2023.01); G06Q 50/02 (2012.01); G06Q 50/26 (2012.01); H02J 3/00 (2006.01); H02J 3/14 (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); G05B 13/04 (2013.01); G05B 13/042 (2013.01); G06F 1/26 (2013.01); G06N 3/08 (2013.01); G06N 5/043 (2013.01); G06N 10/00 (2019.01); G06N 20/00 (2019.01); G06Q 10/067 (2013.01); 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 3/144 (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 machine learning system is trained on a set of energy intelligence data and deployed on an edge device, wherein the machine learning system is configured to receive additional training by the edge device to improve energy management. In some embodiments, the energy management includes management of generation of energy by a set of distributed energy generation resources, management of storage of energy by a set of distributed energy storage resources management of delivery of energy by a set of distributed energy delivery resources, management of delivery of energy by a set of distributed energy delivery resources, and/or management of consumption of energy by a set of distributed energy consumption resources.

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