ESTIMATING AN ACHIEVABLE POWER PRODUCTION OF A WIND TURBINE BY MEANS OF A NEURAL NETWORK

Patent №

US 8,587,140

Granted

2013-11-19

Filed 2009

Owner

SIEMENS AKTIENGESELLSCHAFT

Lab

AI components

2

ml · planning

Assignment

Recorded

Dataset

AIPD

2023_r1 edition

Application

12620904

A method for estimating an achievable power production of a wind turbine, which is operated with a reduced power set point is provided. The method includes determining the values of at least two parameters, inputting the values of the at least two parameters into a neural network, and outputting an output value from the neural network. The at least two parameters are indicative of an operating condition of the wind turbine. Thereby, the output value is an estimate of the achievable power production of the wind turbine. A control system which is adapted to carry out the described power estimation method is also provided. Furthermore, a wind turbine which uses the control system adapted to carry out the described power estimation method is provided.

AI classification

Machine learning1.00
Planning0.98
AI hardware0.01
Vision0.00
Knowledge representation0.00
Natural language0.00
Speech0.00
Evolutionary computation0.00

Ownership

SIEMENS AKTIENGESELLSCHAFT

assignment · 235360026

Assignors

EGEDAL, PER, KNUDSEN, ANDREAS GROTH

On an employer assignment, the assignors are typically the inventors.

From the same owner

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