Kamisan, Nur A.B. and Lee, Muhammad H. and Hassan, Siti Fatimah and Norrulashikin, Siti M. and Nor, Maria E. and Rahman, Nur H.A. (2021) Forecasting wind speed data by using a combination of ARIMA model with single exponential smoothing. Mathematical Modelling of Engineering Problems (MMEP), 8 (2). pp. 207-212. ISSN 2369-0739, DOI https://doi.org/10.18280/mmep.080206.
Full text not available from this repository.Abstract
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 Integrated Moving Average (ARIMA), Simple Exponential Smoothing (SES) and a hybrid model combination of ARIMA and SES will be used in this study to predict the wind speed. The mean absolute percentage error (MAPE) and the root mean square error (RMSE) are used as measurement of efficiency. The hybrid model provides a positive outcome for predicting wind speed compare to the single model of ARIMA and SES. © 2021. All Rights Reserved.
| Item Type: | Article |
|---|---|
| Funders: | Universiti Teknologi Malaysia [Grant No.: QJ130000.2654.17J90] |
| Uncontrolled Keywords: | ARIMA model; Hybrid time series model; Wind energy; Wind speed forecasting |
| Subjects: | T Technology > T Technology (General) |
| Divisions: | Centre for Foundation Studies in Science |
| Depositing User: | Ms Zaharah Ramly |
| Date Deposited: | 27 Nov 2023 06:56 |
| Last Modified: | 27 Nov 2023 06:56 |
| URI: | http://eprints.um.edu.my/id/eprint/35670 |
Actions (login required)
 |
View Item |
