Forecasting wind speed data by using a combination of ARIMA model with single exponential smoothing

• Main Authors: Kamisan, Nur A., Lee, Muhammad H., Hassan, Siti F., Norrulashikin, Siti M., Nor, Maria E., A. Rahman, Nur H.
• Format: Article
• Language: English
• Published: International Information and Engineering Technology Association 2021
• Subjects: TJ266-267.5 Turbines. Turbomachines (General)
• Online Access: http://eprints.uthm.edu.my/2549/1/J12375_c5a60f4885efb6141f464f4c666a993d.pdf; http://eprints.uthm.edu.my/2549/; https://doi.org/10.18280/mmep.080206

Wind serves as natural resources as the solution to minimize global warming and has been commonly used to produce electricity. Because of their uncontrollable wind characteristics, wind speed forecasting is considered one of the best challenges in developing power generation. The Autoregressive Inte...