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:
Mar. 07, 2023

Filed:

May. 21, 2021
Applicant:

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

Inventors:

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

Yi Li, Palm Beach Gardens, FL (US);

Donville D. Smith, Hobe Sound, FL (US);

Daniel M. Brake, Hobe Sound, FL (US);

Hooman Yousefizadeh, Port St. Lucie, FL (US);

LaMargo V. Sweezer-Fischer, West Palm Beach, FL (US);

Carmine A. Priore, III, Wellington, FL (US);

Assignee:

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

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G05B 19/042 (2006.01); F03D 7/04 (2006.01); F03D 7/02 (2006.01); G06N 20/00 (2019.01);
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);
Abstract

A system for generating power includes an environmental engine operating on one or more computing devices that determines a wind flowing over a blade of a wind turbine, wherein the wind flowing over the blade of the wind turbine varies based on environmental conditions and operating parameters of the wind turbine. The system also includes an artificial intelligence (AI) ensemble engine operating on the one or more computing devices that generates a plurality of different models for the wind turbine. Each model characterizes a relationship between at least two of a rotor speed, a blade pitch, the wind flowing over the blade, a wind speed and a turbulence intensity for the wind turbine. The AI ensemble engine selects a model with a highest efficiency metric, and simulates execution of the selected model to determine recommended operating parameters.


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