Small-Wind Turbine Power Generation Prediction from Atmospheric Variables Based on Intelligent Techniques
2020; Springer Nature; Linguagem: Inglês
10.1007/978-3-030-57802-2_4
ISSN2194-5357
AutoresBruno Baruque, Esteban Jove, Santiago Porras, José Luis Calvo‐Rolle,
Tópico(s)Wind Energy Research and Development
ResumoThe 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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