مجلة رؤى اقتصادية
Volume 12, Numéro 1, Pages 247-261
2022-06-30

Forecasting Electricity Consumption In Algeria Using Artificial Neural Networks



Authors : Chekouri Sidi Mohammed . Sahed Abdelkader .

Abstract

This paper uses artificial neural network (ANN) method to forecast electricity consumption in Algeria. For this purpose, two independent variables which are GDP (Gross Domestic Product) per capita and population are used to forecast electricity consumption. The performance of the models is measured using R squared and the mean absolute percentage error (MAPE). The results reveal that the ANN model based on modeling electricity consumption as a function of economic indicators shows better performance than the ANN time input model. Also, results show that the projected electricity consumption in Algeria will reach 76.06 and 94.66 billion Kwh in years 2020 and 2025 respectively. Thus, A better electricity forecast is important for the policy makers when building future energy plants for the country.

Keywords

Electricity Consumption ; Forecasting ; Artificial Neural Networks ; Algeria

Les articles similaires

Electricity Consumption Forecasting In Algeria Using Arima And Long Short-term Memory Neural Network

Sahed Abdelkader .  Kahoui Hacene . 
pages 78-88.

Forecasting Exchange Rates Using Artificial Neural Networks

Benlaria Ahmed .  Boubekeur Lahcen . 
pages 804-814.

A Direct Normal Irradiation Forecasting Model Based On Artificial Neural Networks

Belhaj I. .  El Fatni O. .  Barhmi S. .  Saidi E.h. . 
pages 21-28.

Intrusion Detection Based On Neural Networks Neural Networks In Iot

Chaima Bensaid . 
pages 29-33.

The Use Of The Artificial Intelligence Techniques In Evaluating The Credit Risk In The Commercial Banks –the Artificial Neural Networks Model-

Omari Aicha .  Baba Ahmed Abdelmadjid . 
pages 164-185.

Formats de citation