ARTIFICIAL INTELLIGENCE, SUSTAINABILITY AND ENERGY SECTOR: A BIBLIOMETRIC ANALYSIS 0 0

Abstract

The present paper aims to conduct a literature review using bibliometric analysis to understand the relationship between artificial intelligence, sustainability, and energy sector-related publications in journals indexed in the Scopus Database for the period 2004 to 2023. The study has conducted two bibliometric analysis, namely Network analysis and Science mapping to study what have been various important journals, authors, and countries producing significant publications as well as what have been influential collaborations between authors, co-citation between article sas well as thematic analysis of the study. Performance analyses reveal that China followed by the USA and India have been the leading countries in producing research work in this domain, authors like Quammi, and Saciler are the influential authors in this field and the Journal of Cleaner Production and Sustainability are the twoleading journals with a High H index. Co-citation analyses show research carried around clusters like ‘sustainable development goals, agenda 2030, and transforming our world’ as themes. The thematic analysis reveals motor themes like decision making while niche themes like energy efficiency 
and energy utilization are also revealed. Our study concludes by suggesting that further research in the domain of energy efficiency using AI while incorporating sustainable means is the need of the hourgiven the rising climate extremists. It is significant for academia, industry as well as policy makers to ensure cleaner and sustainable energy solutions are crafted for our society.