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
Ownership
SIEMENS AKTIENGESELLSCHAFT
assignment · 235360026
Assignors
EGEDAL, PER, KNUDSEN, ANDREAS GROTH
On an employer assignment, the assignors are typically the inventors.