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

Author

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  • Abdulrahman M. Alsobhi

    (Department of Economic, College of Islamic Economy and Finance, UMM Al Qura University, Saudi Arabia.)

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.

Suggested Citation

  • Abdulrahman M. Alsobhi, 2023. "Using Artificial Neural Networks to Recognize the Determinants of Energy Consumption in Saudi Arabia," International Journal of Energy Economics and Policy, Econjournals, vol. 13(3), pages 489-493, May.
    • Handle: RePEc:eco:journ2:2023-03-53
    as

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    References listed on IDEAS

    as
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    More about this item

    Keywords

    Saudi Arabia; Energy consumption; Artificial neural network;
    All these keywords.

    JEL classification:

    • O13 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development - - - Agriculture; Natural Resources; Environment; Other Primary Products
    • O20 - Economic Development, Innovation, Technological Change, and Growth - - Development Planning and Policy - - - General
    • Q43 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy - - - Energy and the Macroeconomy

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