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Resumen de Small-Wind Turbine Power Generation Prediction from Atmospheric Variables Based on Intelligent Techniques

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

  • 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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