The smart green tide: A bibliometric analysis of AI and renewable energy transition
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Abstract
With the growing demand for renewable energy worldwide, the application of artificial intelligence (AI) has become a driving force in promoting sustainable development. This study conducts a bibliometric analysis of 1054 articles published between 2000 and 2024 from the Web of Science Core Collection Database, applying CiteSpace, VOS Viewer, and Bibliometrix tools to construct a knowledge map of AI’s application in renewable energy transition. The results reveal an exponential growth in related academic literature, with the number of publications increasing by 650 % from 2019 to 2024 alone, indicating the intensifying interest in this field. Chinese scholars have emerged as leaders in this research area,…
Citation impact
50
total citations
- FWCI
- 166.09
- Percentile
- 100%
- References
- 80
Citations per year
Authors
3Topics & keywords
Keywords
- Renewable energy
- Energy transition
- Transition (genetics)
- Bibliometrics
- Environmental science
- Environmental economics
- Engineering physics
- Data science
UN Sustainable Development Goals
- Affordable and clean energy
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