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

• Main Authors: Hanoon, Marwah Sattar, Ahmed, Ali Najah, Kumar, Pavitra, Razzaq, Arif, Zaini, Nur'atiah, Huang, Yuk Feng, Sherif, Mohsen, Sefelnasr, Ahmed, Chau, Kwok Wing, El-Shafie, Ahmed
• Format: Article
• Published: Taylor & Francis 2022
• Subjects: QC Physics
• Online Access: http://eprints.um.edu.my/41520/

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...