Prediction of Small-Wind Turbine Performance from Time Series Modelling Using Intelligent Techniques
- Santiago Porras 1
- Esteban Jove 2
- Bruno Baruque 1
- José Luis Calvo-Rolle 2
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1
Universidad de Burgos
info
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2
Universidade da Coruña
info
- Cesar Analide (ed. lit.)
- Paulo Novais (ed. lit.)
- David Camacho (ed. lit.)
- Hujun Yin (ed. lit.)
Editorial: Springer International Publishing AG
ISBN: 978-3-030-62362-3, 978-3-030-62361-6, 978-3-030-62364-7, 978-3-030-62365-4
Año de publicación: 2020
Título del volumen: Part II
Volumen: 2
Páginas: 541-548
Congreso: Intelligent Data Engineering and Automated Learning – IDEAL (21. 2020. Guimarães)
Tipo: Aportación congreso
Resumen
The present research work deals the model creation obtaining for power generation prediction of a small-wind turbine, based on the atmospheric variables of its location. For testing purposes, a real dataset has been obtained of a bio-climate house located in Sotavento Experimental Wind Farm in the north of Spain. A deep study of the system and atmospheric variables has been performed. Then, some different regression techniques have been tested for accomplishing prediction, obtaining excellent results.
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