Abstract
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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Baruque, B., Jove, E., Porras, S., & Calvo-Rolle, J. L. (2021). Small-Wind Turbine Power Generation Prediction from Atmospheric Variables Based on Intelligent Techniques. In Advances in Intelligent Systems and Computing (Vol. 1268 AISC, pp. 33–43). Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/978-3-030-57802-2_4
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