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. 09, 2024

Filed:

Aug. 24, 2021
Applicant:

Inventus Holdings, Llc, Juno Beach, FL (US);

Inventors:

Andres F. Girardot, Jupiter, FL (US);

George Alex Pantouris, Jupiter, FL (US);

Yi Li, Jupiter, FL (US);

Assignee:

INVENTUS HOLDINGS, LLC., Juno Beach, FL (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
F03D 7/04 (2006.01); F03D 7/02 (2006.01); G05B 19/042 (2006.01); G06N 20/00 (2019.01); G06F 113/06 (2020.01);
U.S. Cl.
CPC ...
F03D 7/046 (2013.01); F03D 7/0224 (2013.01); F03D 7/0276 (2013.01); F03D 7/045 (2013.01); G05B 19/042 (2013.01); G06N 20/00 (2019.01); F05B 2200/13 (2013.01); F05B 2200/14 (2013.01); F05B 2200/211 (2013.01); F05B 2200/221 (2013.01); F05B 2220/30 (2013.01); F05B 2240/221 (2013.01); F05B 2260/74 (2013.01); F05B 2260/84 (2013.01); F05B 2270/101 (2013.01); F05B 2270/1033 (2013.01); F05B 2270/32 (2013.01); F05B 2270/323 (2013.01); F05B 2270/324 (2013.01); F05B 2270/325 (2013.01); F05B 2270/402 (2013.01); G05B 2219/2619 (2013.01); G06F 2113/06 (2020.01);
Abstract

A system for generating power includes an environmental engine that determines performance metrics for a plurality of wind turbines deployed at a plurality of windfarms, such that each windfarm includes a corresponding subset of the plurality of windfarms. The performance metrics for a given wind turbine of the plurality of wind turbines characterizes wind flowing over blades of the given wind turbine. The system includes an artificial intelligence (AI) ensemble engine operating on the one or more computing devices that generates a set of models for each wind turbine of the plurality of wind turbines, wherein each model of each set of models is generated with a different machine learning algorithm and selects, for each respective set of models, a model with a highest efficiency metric. The AI engine provides edge computing systems operating at the plurality of windfarms with a selected model and corresponding recommended operating parameters.


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