Citation

Arsad, Siti Rosilah and Hasnul Hadi, Muhamad Haziq and Mohd Afandi, Nayli Aliah and Ker, Pin Jern and Tang, Shirley Gee Hoon and Mohd Afzal, Madihah and Ramanathan, Santhi and Chen, Chai Phing and Krishnan, Prajindra Sankar and Tiong, Sieh Kiong (2023) The Impact of COVID-19 on the Energy Sector and the Role of AI: An Analytical Review on Pre- to Post-Pandemic Perspectives. Energies, 16 (18). p. 6510. ISSN 1996-1073

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Abstract

The COVID-19 pandemic has disrupted global energy markets and caused significant socio-economic impacts worldwide, including the energy sector due to lockdowns and restricted economic activity. This paper presents a comprehensive and analytical review of the impact of COVID-19 on the energy sector and explores the potential role of artificial intelligence (AI) in mitigating its effects. This review examines the changes in energy demand patterns during the pre-, mid-, and post-pandemic periods, analyzing their implications for the energy industries, including policymaking, communication, digital technology, energy conversion, the environment, energy markets, and power systems. Additionally, we explore how AI can enhance energy efficiency, optimize energy use, and reduce energy wastage. The potential of AI in developing sustainable energy systems is discussed, along with the challenges it poses in the energy sector’s response to the pandemic. The recommendations for AI applications in the energy sector for the transition to a more sustainable energy future, with examples drawn from previous successful studies, are outlined. Information corroborated in this review is expected to provide important guidelines for crafting future research areas and directions in preparing the energy sector for any unforeseen circumstances or pandemic-like situations

Item Type:	Article
Uncontrolled Keywords:	COVID-19; pandemic; energy; artificial intelligence; digital technology; power system
Subjects:	Q Science > Q Science (General) > Q300-390 Cybernetics
Divisions:	Faculty of Business (FOB)
Depositing User:	Ms Nurul Iqtiani Ahmad
Date Deposited:	01 Nov 2023 02:44
Last Modified:	01 Nov 2023 02:44
URII:	http://shdl.mmu.edu.my/id/eprint/11830

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