دراسة تنبؤية لاستهلاك الكهرباء باستخدام منهجية بوكس - جينكيز دراسة حالة وكالة سونلغاز بالمسيلة للفترة 2016-2023

dc.contributor.author	أمل حرايز
dc.date.accessioned	2024-11-06T08:53:30Z
dc.date.available	2024-11-06T08:53:30Z
dc.date.issued	2024
dc.description.abstract	This study aims to predict electric energy consumption based on data provided by Sonelgaz in the M'Sila province during the period (2016-2023) using the Box-Jenkins methodology for time series analysis. To achieve the study's objectives, the descriptive analytical method was employed, which helps in describing the study variables and analyzing the results of the applied aspect. In this study, we used the EViews 10 software to estimate the optimal model that aids in the prediction process. The study found that the best model explaining the behavior of electric energy consumption in the M'Sila province is the ARMA (4,4) model. The prediction results showed a significant convergence between the values estimated by the agency and the values obtained .
dc.identifier.uri	https://dspace.univ-msila.dz/handle/123456789/44739
dc.subject	Keywords: prediction
dc.subject	electricity
dc.subject	electric energy
dc.subject	Box-Jenkins methodology
dc.subject	M'Sila province
dc.subject	Sonelgaz agency
dc.subject	time series.
dc.title	دراسة تنبؤية لاستهلاك الكهرباء باستخدام منهجية بوكس - جينكيز دراسة حالة وكالة سونلغاز بالمسيلة للفترة 2016-2023
dc.type	Thesis

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Name:: دراسة تنبؤية لاستهلاك الكهرباء باستخدام منهجية بوكس جينكنز دراسة حالة وكالة سونلغاز بالمسيلة للفترة - Said BENLAKHDAR.pdf
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