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

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 industrializa...

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Main Author: Abdulrahman M. Alsobhi
Format: Article
Language:English
Published: EconJournals 2023-05-01
Series:International Journal of Energy Economics and Policy
Subjects:
Online Access:http://www.econjournals.com/index.php/ijeep/article/view/13880
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author Abdulrahman M. Alsobhi
author_facet Abdulrahman M. Alsobhi
author_sort Abdulrahman M. Alsobhi
collection DOAJ
description 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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spelling doaj.art-7b5dafa3399843389a0563d9096507a12023-05-19T14:31:50ZengEconJournalsInternational Journal of Energy Economics and Policy2146-45532023-05-0113310.32479/ijeep.13880Using Artificial Neural Networks to Recognize the Determinants of Energy Consumption in Saudi ArabiaAbdulrahman M. Alsobhi0Department of Economic, College of Islamic Economy and Finance, UMM Al Qura University, Saudi Arabia. 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. http://www.econjournals.com/index.php/ijeep/article/view/13880Saudi Arabia, Energy consumption, Artificial neural network
spellingShingle Abdulrahman M. Alsobhi
Using Artificial Neural Networks to Recognize the Determinants of Energy Consumption in Saudi Arabia
International Journal of Energy Economics and Policy
Saudi Arabia, Energy consumption, Artificial neural network
title Using Artificial Neural Networks to Recognize the Determinants of Energy Consumption in Saudi Arabia
title_full Using Artificial Neural Networks to Recognize the Determinants of Energy Consumption in Saudi Arabia
title_fullStr Using Artificial Neural Networks to Recognize the Determinants of Energy Consumption in Saudi Arabia
title_full_unstemmed Using Artificial Neural Networks to Recognize the Determinants of Energy Consumption in Saudi Arabia
title_short Using Artificial Neural Networks to Recognize the Determinants of Energy Consumption in Saudi Arabia
title_sort using artificial neural networks to recognize the determinants of energy consumption in saudi arabia
topic Saudi Arabia, Energy consumption, Artificial neural network
url http://www.econjournals.com/index.php/ijeep/article/view/13880
work_keys_str_mv AT abdulrahmanmalsobhi usingartificialneuralnetworkstorecognizethedeterminantsofenergyconsumptioninsaudiarabia