Power Prediction of Airborne Wind Energy Systems Using Multivariate Machine Learning

Power Prediction of Airborne Wind Energy Systems Using Multivariate Machine Learning

Kites can be used to harvest wind energy at higher altitudes while using only a fraction of the material required for conventional wind turbines. In this work, we present the kite system of Kyushu University and demonstrate how experimental data can be used to train machine learning regression model...

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Bibliographic Details
Main Authors: Mostafa A. Rushdi, Ahmad A. Rushdi, Tarek N. Dief, Amr M. Halawa, Shigeo Yoshida, Roland Schmehl
Format: Article
Language:English
Published: MDPI AG 2020-05-01
Series:Energies
Subjects:
airborne wind energy
kite system
kite power
tether force
machine learning
neural network
Online Access:https://www.mdpi.com/1996-1073/13/9/2367

Internet

https://www.mdpi.com/1996-1073/13/9/2367

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