Forecasting production of energy in Algeria based on Arima model
Joint Authors
Zinnadi, Zaynah
Abdi, Muhammad Said
Source
Revue El-Ryssala des Études et Recherches en Sciences Humaines
Issue
Vol. 7, Issue 4 (30 Jun. 2022), pp.782-791, 10 p.
Publisher
Université Larbi Tébessi-Tébessa Faculté des Sciences Humaines et Sociales
Publication Date
2022-06-30
Country of Publication
Algeria
No. of Pages
10
Main Subjects
Topics
Abstract EN
Production Energy forecasting is a strategy to predict and forecast future energy must attain demand and offer equilibrium.
The aim of this study is to forecast industrial production of energy in Algeria, the data were obtained from 2010 to 2019.
Based on the results of estimated parameters of the ARIMA model following the ARIMA model (2, 2, 1).
Observed years during the forecast period were precisely predicted and were put within the forecast intervals generated by the selected model.
This study shows that ARIMA models with optimally selected covariates are useful tools for monitoring and predicting trends industrial production of energy in Algeria.
Our research results show an increase in energy production in the forecast period.
American Psychological Association (APA)
Zinnadi, Zaynah& Abdi, Muhammad Said. 2022. Forecasting production of energy in Algeria based on Arima model. Revue El-Ryssala des Études et Recherches en Sciences Humaines،Vol. 7, no. 4, pp.782-791.
https://search.emarefa.net/detail/BIM-1381537
Modern Language Association (MLA)
Zinnadi, Zaynah& Abdi, Muhammad Said. Forecasting production of energy in Algeria based on Arima model. Revue El-Ryssala des Études et Recherches en Sciences Humaines Vol. 7, no. 4 (Jun. 2022), pp.782-791.
https://search.emarefa.net/detail/BIM-1381537
American Medical Association (AMA)
Zinnadi, Zaynah& Abdi, Muhammad Said. Forecasting production of energy in Algeria based on Arima model. Revue El-Ryssala des Études et Recherches en Sciences Humaines. 2022. Vol. 7, no. 4, pp.782-791.
https://search.emarefa.net/detail/BIM-1381537
Data Type
Journal Articles
Language
English
Notes
-
Record ID
BIM-1381537