Preprint Review Version 1 Preserved in Portico This version is not peer-reviewed

The Impacts of COVID-19 and Roles of Artificial Intelligence on Energy Sector: An Analytical Review on the Pre-, Mid- and Post-Pandemic Perspectives

Siti Rosilah Arsad
,
Muhamad Haziq Hasnul Hadi
,
Nayli Aliah Mohd Afandi
ORCID logo ,
Pin Jern Ker
* ORCID logo ,
Shirley Gee Hoon Tang
ORCID logo ,
Madihah Mohd Afzal
,
Santhi Ramanathan
ORCID logo ,
Chai Phing Chen
,
Prajindra Sankar Krishnan
ORCID logo ,
Sieh Kiong Tiong
Version 1 : Received: 10 July 2023 / Approved: 11 July 2023 / Online: 11 July 2023 (05:22:21 CEST)

A peer-reviewed article of this Preprint also exists.

Arsad, S.R.; Hasnul Hadi, M.H.; Mohd Afandi, N.A.; Ker, P.J.; Tang, S.G.H.; Mohd Afzal, M.; Ramanathan, S.; Chen, C.P.; Krishnan, P.S.; Tiong, S.K. The Impact of COVID-19 on the Energy Sector and the Role of AI: An Analytical Review on Pre- to Post-Pandemic Perspectives. Energies 2023, 16, 6510. Arsad, S.R.; Hasnul Hadi, M.H.; Mohd Afandi, N.A.; Ker, P.J.; Tang, S.G.H.; Mohd Afzal, M.; Ramanathan, S.; Chen, C.P.; Krishnan, P.S.; Tiong, S.K. The Impact of COVID-19 on the Energy Sector and the Role of AI: An Analytical Review on Pre- to Post-Pandemic Perspectives. Energies 2023, 16, 6510.

Abstract

Abstract: The COVID-19 pandemic has disrupted global energy markets and caused significant socio-economic impacts worldwide. The pandemic has also impacted the energy sector, with demand for energy reducing due to lockdowns and reduced economic activity. Hence, this paper aims to provide a comprehensive and analytical review of the impact of COVID-19 on the energy sector and discuss the potential role of artificial intelligence (AI) in mitigating some of these effects. This review examines the changes in energy demand patterns resulting from the pandemic and the implications for the energy industry, including the shifts in policymaking, communication, digital technology, energy conversion, environmental, energy market, and power system operation. The analysis of the energy pattern is discussed according to the timeframes which include pre-, mid-, and post-pandemic periods. Furthermore, we explore how AI can be used to improve energy efficiency, optimize energy use, and reduce energy wastages. The potential for AI to contribute to developing more efficient and sustainable energy systems has also been addressed. Lastly, we highlighted AI’s challenges, which play a significant role in the energy sector's response to the COVID-19 pandemic. The recommendations for AI applications in the energy sector for the transition to a more sustainable energy future 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.

Keywords

COVID-19; pandemic; energy; artificial intelligence; digital technology; power system

Subject

Engineering, Energy and Fuel Technology

Copyright: This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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