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. Downloads Download data is not yet available. Downloads FULL TEXT 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 More Citation Formats ACM ACS APA ABNT Chicago Harvard IEEE MLA Turabian Vancouver Download Citation Endnote/Zotero/Mendeley (RIS) BibTeX Issue Vol. 13 No. 3 (2023) Section Articles License Submission of an article implies that the work described has not been published previously , that it is not under consideration for publication elsewhere, that its publication is approved by all authors and tacitly or explicitly by the responsible authorities where the work was carried out, and that, if accepted, will not be published elsewhere in the same form, without the written consent of the Publisher. The Editors reserve the right to edit or otherwise alter all contributions, but authors will receive proofs for approval before publication. Make a Submission Make a Submission Dergi Kapağı
Alan : Sosyal, Beşeri ve İdari Bilimler
Dergi Türü : Uluslararası
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