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

Economy and Commerce

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