Using Artificial Neural Networks to Recognize the Determinants of Energy Consumption in Saudi Arabia

Authors

  • Abdulrahman M. Alsobhi Department of Economic, College of Islamic Economy and Finance, UMM Al Qura University, Saudi Arabia.

DOI:

https://doi.org/10.32479/ijeep.13880

Keywords:

Saudi Arabia, Energy consumption, Artificial neural network

Abstract

This study aims to investigate the variables affecting Saudi Arabia's energy consumption. To do this, the study used an innovative technique called an artificial neural network (ANN) between 2010 and 2020. The findings of this study indicate that global energy prices, followed by industrialization and trade openness, are the most significant factors influencing Saudi Arabia's energy consumption. Saudi Arabia's energy consumption is not influenced by other variables, such as population growth, inflation, urbanization, economic growth, which have been addressed in other works.

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Published

2023-05-17

How to Cite

Alsobhi, A. M. (2023). Using Artificial Neural Networks to Recognize the Determinants of Energy Consumption in Saudi Arabia. International Journal of Energy Economics and Policy, 13(3), 489–493. https://doi.org/10.32479/ijeep.13880

Issue

Vol. 13 No. 3 (2023)

Section

Articles

License

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