مجلة الرسالة للدراسات والبحوث الإنسانية
Volume 7, Numéro 4, Pages 782-791
2022-06-14
Authors : Zennadi Zina . Abdi Mohamed Said .
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.
Production energy ; ARIMA model ; Forecast ; Algeria
بلحاج عمارة شهرزاد
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ص 383-394.
Latreche Walid
.
Khallout Manal
.
pages 647-659.
Sahed Abdelkader
.
Kahoui Hacene
.
pages 78-88.
موسى عبد القادر
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مسعودي محمد
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ص 302-325.
Imane Khiati
.
Ali Talem
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pages 382-398.