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Predict Long-Term Average Monthly Temperature in Saudi Arabias Al-Baha Region using SARIMA Model
Journal: International Journal of Science and Research (IJSR) (Vol.9, No. 9)Publication Date: 2020-09-05
Authors : Salem Alzahrani;
Page : 1375-1381
Keywords : Temperatures; Box-Jenkins; S ARIMA; Evaluation criteria;
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Find it from : Google Scholar
Abstract
In this paper, we predict average monthly temperature in Al-Baha region, Saudi Arabia, from June 2003 to December 2019, using SARIMA (Self-Regressive Seasonal Moving Average) techniques. A detailed explanation of model selection and prediction accuracy is provided. The results of the model analysis show that the proposed research approach obtains good predictive accuracy.
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Last modified: 2021-06-28 17:11:32