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

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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Bibliographic Details
Main Authors: Mohammed Farsi, Doreswamy Hosahalli, B.R. Manjunatha, Ibrahim Gad, El-Sayed Atlam, Althobaiti Ahmed, Ghada Elmarhomy, Mahmoud Elmarhoumy, Osama A. Ghoneim
Format: Article
Language:English
Published: Elsevier 2021-02-01
Series:Alexandria Engineering Journal
Subjects:
SARIMA algorithm
NCDC dataset
Weather analysis
Data processing
Genetic algorithms (GA)
Parallel computing
Online Access:http://www.sciencedirect.com/science/article/pii/S1110016820305706

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http://www.sciencedirect.com/science/article/pii/S1110016820305706

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