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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| Auteurs principaux: | , , , , , |
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| Format: | Artigo |
| Langue: | Inglês |
| Publié: |
MDPI AG
2020-05-01
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| Collection: | Energies |
| Sujets: | |
| Accès en ligne: | https://www.mdpi.com/1996-1073/13/9/2367 |
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