Identification of Variables of a Floating Wind Turbine Prototype

被引：0

作者：

Tecedor Roa, Juan ^{[1
]}

Serrano, Carlos ^{[1
]}

Santos, Matilde ^{[2
]}

Enrique Sierra-Garcia, J. ^{[3
]}

机构：

[1] Univ Complutense Madrid, Fac Informat, Madrid 28040, Spain

[2] Univ Complutense Madrid, Inst Knowledge Technol, Madrid 28040, Spain

[3] Univ Burgos, Dept Electromech Engn, Burgos 09006, Spain

来源：

INTELLIGENT DATA ENGINEERING AND AUTOMATED LEARNING - IDEAL 2022 | 2022年 / 13756卷

关键词：

Wind turbine; Neural networks; Dynamics identification;

D O I：

10.1007/978-3-031-21753-1_49

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

In this paper, using real data from a low scale prototype of a wind turbine, different models have been obtained based on machine learning techniques. These models have been shown to be useful to forecast some key statistical metrics of the dynamics of the wind turbine. The models are dependent on the wind speed and the blade pitch angle. These models can be used to develop a digital twin of the wind turbine and predict its behavior, even for wind speed and pitch angles outside the ranges used for training the system.

引用

页码：503 / 512

页数：10

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