Using artificial networks to predict Algerian oil prices (Saharan Blend)

Hadj Kouider Abdelhadi, Benlaria Ahmed, Baghafar Abdelkader

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Published: Nov 30, 2023

Keywords:

Artificial Neural Networks, Oil Price Forecasting, Time Series Prediction, Machine Learning, Energy Economics

Hadj Kouider Abdelhadi, Benlaria Ahmed, Baghafar Abdelkader

Abstract

This study explores the efficacy of Artificial Neural Networks (ANN) in forecasting monthly crude oil prices. Utilizing data from January 1990 to August 2023, an ANN model was developed and trained to predict future values. The results were promising, showing a strong correlation with actual prices and underscoring the potential of ANNs in financial forecasting. The research indicates that machine learning can significantly contribute to the predictive analytics in the energy market, offering a valuable tool for economic and strategic planning.

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Vol. 60 No. 2 (2023)

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This work is licensed under a Creative Commons Attribution 4.0 International License.

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