Parallel genetic algorithms for optimizing the SARIMA model for better forecasting of the NCDC weather data

Autoregressive Integrated Moving Average (ARIMA) and seasonal ARIMA (SARIMA) models are common techniques that are widely used in analysing and forecasting stationary and seasonal time series data. The three essential steps involved to construct ARIMA are identification, estimation, and checking the...

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Hlavní autoři:	Mohammed Farsi, Doreswamy Hosahalli, B.R. Manjunatha, Ibrahim Gad, El-Sayed Atlam, Althobaiti Ahmed, Ghada Elmarhomy, Mahmoud Elmarhoumy, Osama A. Ghoneim
Médium:	Artigo
Jazyk:	Inglês
Vydáno:	Elsevier 2021-02-01
Edice:	Alexandria Engineering Journal
Témata:	SARIMA algorithm NCDC dataset Weather analysis Data processing Genetic algorithms (GA) Parallel computing
On-line přístup:	http://www.sciencedirect.com/science/article/pii/S1110016820305706
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