Wind speed prediction over Malaysia using various machine learning models: potential renewable energy source

• Main Authors: Hanoon M.S., Ahmed A.N., Kumar P., Razzaq A., Zaini N., Huang Y.F., Sherif M., Sefelnasr A., Chau K.W., El-Shafie A.
• Other Authors: 57266877500
• Format: Article
• Published: Taylor and Francis Ltd. 2023

Modeling wind speed has a signi?cant impact on wind energy systems and has attracted attention from numerous researchers. The prediction of wind speed is considered a challenging task because of its natural nonlinear and random characteristics. Therefore, machine learning models have gained populari...