Investigation of Wind Speed to Generate Energy Using Machine Learning Algorithms Approach Over Selected Nigerian Stations

Wind energy has been identified as a critical component in the growth of all countries throughout the world. Nigeria has been identified as having energy issues as a result of poor maintenance of hydro and thermal energy generating stations. As a result, the current study uses some machine learning...

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Autors principals:	Francis Aweda, Segun Adebayo, Adetunji Adeniji, Timothy Samson, Jacob Akinpelu
Format:	Artigo
Idioma:	Inglês
Publicat:	Materials and Energy Research Center (MERC) 2023-08-01
Col·lecció:	Journal of Renewable Energy and Environment
Matèries:	meteorological data machine learning neural network statistical models
Accés en línia:	https://www.jree.ir/article_161023_e7da1285dc36ee5d1ee8e4bc2caaa89e.pdf
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