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

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

International Journal of Energy Economics and Policy, 2023, vol. 13, issue 3, 489-493

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.

Keywords: Saudi Arabia; Energy consumption; Artificial neural network (search for similar items in EconPapers)
JEL-codes: O13 O20 Q43 (search for similar items in EconPapers)
Date: 2023
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Persistent link: https://EconPapers.repec.org/RePEc:eco:journ2:2023-03-53

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