Boosting wind turbine performance with advanced smart power prediction: Employing a hybrid ARMA-LSTM technique

Wind energy holds significant importance among renewable energy sources, necessitating precise power forecast systems for the operation of wind turbines. In order to meet the urgent requirement for accurate power forecasting in wind energy production, this study introduces a revolutionary Smart Powe...

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Autors principals:	Abdel-Haleem Abdel-Aty, Kottakkaran Sooppy Nisar, Wedad R. Alharbi, Saud Owyed, Mohammed H. Alsharif
Format:	Artigo
Idioma:	Inglês
Publicat:	Elsevier 2024-06-01
Col·lecció:	Alexandria Engineering Journal
Matèries:	Wind energy Power forecast Wind turbines Smart power prediction system ARMA LSTM
Accés en línia:	http://www.sciencedirect.com/science/article/pii/S111001682400320X
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