Do the benefits outweigh the disadvantages? Exploring the role of artificial intelligence in renewable energy

Meng Qin, Wei Hu, Xinzhou Qi and Tsangyao Chang

Energy Economics, 2024, vol. 131, issue C

Abstract: Probing the essential role of artificial intelligence in the energy market is crucial to improving the development of renewable energy. The research adopts the full and sub sample methodologies to identify the interrelation of artificial intelligence index (AII) and renewable energy indicator (REI) in China. From the quantitative discussions, it is shown that there are favourable and negative impacts from AII to REI, and the positive ones indicate that artificial intelligence plays an incentive role in developing renewable energy. However, this incentive role cannot permanently be established if AII's effect on REI is negative, which is mainly caused by non-renewable energy with less costs. In turn, there is a favourable influence from REI to AII during COVID-19, highlighting that the downturn in renewable energy and stock markets caused by this epidemic impedes the progress of artificial intelligence in China. In the context of a new round of scientific and technological revolution and industrial transformation, the research would offer meaningful recommendations to facilitate the development of artificial intelligence, accelerate the application and promotion of artificial intelligence technology in the field of renewable energy, and build efficient models, processors and data centres through shifting to renewable energy.

Keywords: Artificial intelligence; Renewable energy; Time-dependant interrelationship; China (search for similar items in EconPapers)
JEL-codes: C32 O13 O33 (search for similar items in EconPapers)
Date: 2024
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (14)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:eneeco:v:131:y:2024:i:c:s0140988324001117

DOI: 10.1016/j.eneco.2024.107403

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