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Hybrid intelligent framework for one-day ahead wind speed forecasting
Authors:Zouaidia  Khouloud  Ghanemi  Salim  Rais  Mohamed Saber  Bougueroua  Lamine  Katarzyna  Wgrzyn-Wolska
Affiliation:1.Embedded Systems Laboratory, Badji Mokhtar University, Annaba, Algeria
;2.Allianstic Research Laboratory,Efrei Paris, Ville juif, France
;
Abstract:Neural Computing and Applications - Nowadays wind power is considered as one of the fastest growing alternative energies, that is expected to continue to grow rapidly in the upcoming...
Keywords:
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