A Predictive Study of Electricity Consumption Fluctuations Using the Autoregressive-Moving-Average Models: Wilaya of Medea as a Case Study (2011-2017)

Chermat Tahar and Bouaichaoui Youcef ()
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Chermat Tahar: Akli Mohand Oulhaj University, Bouira (Algeria)
Bouaichaoui Youcef: Akli Mohand Oulhaj University, Bouira (Algeria)

Management & Economics Research Journal, 2019, vol. 1, issue 1, 190-211

Abstract: The study aims to model the consumption of electricity in the Wilaya 'Town' of Medea by using the autoregressive-moving-average models for the period from January 2011 to December 2017, which includes 84 views and then the prediction of consumption in a short term, the study found that the electricity consumed follows the model (4.0) ASARMA. In a form of a multiplicative model of Increasing general trend.

Keywords: Electricity Consumption; Autoregressive Models; Moving-Average Models; Short Term Prediction (search for similar items in EconPapers)
JEL-codes: C25 C35 C53 E21 (search for similar items in EconPapers)
Date: 2019
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Persistent link: https://EconPapers.repec.org/RePEc:alv:journl:v:1:y:2019:i:1:p:190-211

DOI: 10.48100/merj.v1i1.23

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