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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Porras, S., Jove, E., Baruque, B., Calvo-Rolle, J.L. (2020). Prediction of Small-Wind Turbine Performance from Time Series Modelling Using Intelligent Techniques. In: Analide, C., Novais, P., Camacho, D., Yin, H. (eds) Intelligent Data Engineering and Automated Learning – IDEAL 2020. IDEAL 2020. Lecture Notes in Computer Science(), vol 12490. Springer, Cham. https://doi.org/10.1007/978-3-030-62365-4_52
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DOI: https://doi.org/10.1007/978-3-030-62365-4_52
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