Author:
Hashim Khalid,Al-Bugharbee Hussein,Zubaidi Salah L.,Saad Al-Bdairi Nabeel Saleem,Farhan Sabeeh L.,Ethaib Saleem
Abstract
Abstract
In the current study, a moving forecasting model is used for the purpose of forecasting maximum air temperature. A number of recordings are used for building the AR model and next, to forecasting some temperature values ahead. Then the AR model coefficients are updating due to shifting the training sample by adding new temperature values in order to involve the change in temperature time series behaviour. The current work shows a high performance all over the temperature time series, which considered in the analysis.
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