Resumen de Prediction of Small-Wind Turbine Performance from Time Series Modelling Using Intelligent Techniques

Santiago Porras Alfonso, Esteban Jove Pérez , Bruno Baruque Zanón , José Luis Calvo-Rolle

• 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.