Forecasting production of energy in Algeria based on Arima model

المؤلفون المشاركون

Zinnadi, Zaynah
Abdi, Muhammad Said

المصدر

Revue El-Ryssala des Études et Recherches en Sciences Humaines

العدد

المجلد 7، العدد 4 (30 يونيو/حزيران 2022)، ص ص. 782-791، 10ص.

الناشر

جامعة العربي التبسي-تبسة كلية العلوم الإنسانية و الاجتماعية

تاريخ النشر

2022-06-30

دولة النشر

الجزائر

عدد الصفحات

10

التخصصات الرئيسية

الاقتصاد و التجارة

الموضوعات

الملخص 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.

نمط استشهاد جمعية علماء النفس الأمريكية (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

نمط استشهاد الجمعية الأمريكية للغات الحديثة (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

نمط استشهاد الجمعية الطبية الأمريكية (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

نوع البيانات

مقالات

لغة النص

الإنجليزية

الملاحظات

-

رقم السجل

BIM-1381537