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Renewable energy, v.145, 2020년, pp.1517 - 1527
Rodríguez, Fermín (Ceit) , Florez-Tapia, Ane M. (Ceit) , Fontán, Luis (Ceit) , Galarza, Ainhoa (Ceit)
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Abstract The aim of this study was to develop an artificial intelligence-based tool that is able to predict wind power density. Wind power density is volatile in nature, and this creates certain challenges, such as grid controlling problems or obstacles to guaranteeing power generation capacity. In...
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