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Machine learning technologies on energy economics and finance in times of crisis

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  • M. Kabir Hassan

    (University of New Orleans)

  • Mohammad Zoynul Abedin

    (Hajee Mohammad Danesh Science and Technology University)

Abstract

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  • M. Kabir Hassan & Mohammad Zoynul Abedin, 2025. "Machine learning technologies on energy economics and finance in times of crisis," Annals of Operations Research, Springer, vol. 345(2), pages 569-574, February.
    • Handle: RePEc:spr:annopr:v:345:y:2025:i:2:d:10.1007_s10479-024-06455-x
    DOI: 10.1007/s10479-024-06455-x
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    References listed on IDEAS

    as
    1. S. Boubaker & Z. Liu & Y. Zhang, 2022. "Forecasting Oil Commodity Spot Price in a Data-Rich Environment," Post-Print hal-04445034, HAL.
    2. Rabeh Khalfaoui & Sami Ben Jabeur & Shawkat Hammoudeh & Wissal Ben Arfi, 2022. "The role of political risk, uncertainty, and crude oil in predicting stock markets: evidence from the UAE economy," Post-Print hal-03804993, HAL.
    3. repec:hal:journl:hal-04444805 is not listed on IDEAS
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    Cited by:

    1. Lu, Jiahao & Tao, Ran & Yao, Zhifeng & Xiao, Ruofu & Liu, Weichao, 2025. "Transient simulation energy study of fast opening of guide vane during start-up of pump turbine in energy storage mode," Energy, Elsevier, vol. 324(C).

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