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

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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Bibliographic Details
Main Authors: Abdel-Haleem Abdel-Aty, Kottakkaran Sooppy Nisar, Wedad R. Alharbi, Saud Owyed, Mohammed H. Alsharif
Format: Article
Language:English
Published: Elsevier 2024-06-01
Series:Alexandria Engineering Journal
Subjects:
Wind energy
Power forecast
Wind turbines
Smart power prediction system
ARMA
LSTM
Online Access:http://www.sciencedirect.com/science/article/pii/S111001682400320X

Internet

http://www.sciencedirect.com/science/article/pii/S111001682400320X

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