A.B. Kamisan, Nur and Lee, Muhammad H. and Hassan, Siti F. 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. International Information and Engineering Technology Association, 8 (2). pp. 207-212.
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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.
| Item Type: | Article |
|---|---|
| Uncontrolled Keywords: | ARIMA model; hybrid time series model; wind speed forecasting; wind energy |
| Subjects: | T Technology > TJ Mechanical engineering and machinery > TJ266-267.5 Turbines. Turbomachines (General) |
| Depositing User: | Mr. Abdul Rahim Mat Radzuan |
| Date Deposited: | 20 Oct 2021 02:52 |
| Last Modified: | 20 Oct 2021 02:52 |
| URI: | http://eprints.uthm.edu.my/id/eprint/2407 |
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