ARTIFICIAL INTELLIGENCE AND RENEWABLE ENERGY: BIBLIOMETRIC ANALYSIS
DOI:
https://doi.org/10.68302/std2026.vol3.65Keywords:
Artificial intelligence (AI), bibliometric analysis, renewable energy, renewable energy sourcesAbstract
Taking into account that artificial intelligence (AI) is the computer technology that has seen the most explosive growth in recent years, we try to explore its application in the context of the concept of sustainable development, and our focus is on the possibilities of artificial intelligence to stimulate the development of renewable energy sources (RES). This is dictated by the interconnectedness and interdependence between the two areas of development – on the one hand, the need for “green energy” to power the artificial intelligence centres requires an increase in the production and consumption of energy from renewable sources, and on the other hand, an increase in the share of unconventional energy sources necessitates increasing storage capacity and efficiency in energy use, which relies on AI. With this study, we aim to identify the areas of application of artificial intelligence in the field of renewable energy (RE). Applying bibliometric analysis to the totality of publications subject to our research, we identify the leading authors and highlight their most significant developments, specify the sources with the highest concentration of publications and the countries from which they originate. By conducting a keyword co-occurrence analysis, we highlight the areas in which AI is used and the purposes for which it is applied. In conclusion, we formulate conclusions about the development of the leading technologies analysed. Finally, the results of the proposed research can be used as a basis for future research and as a useful indicator of the direction of technological developments at the intersection between artificial intelligence and renewable energy sources.
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Supporting Agencies
This article was published with the financial support of Technical University of Gabrovo, Bulgaria under project NIP2026-11 “Benchmarking for Integrating Artificial Intelligence into Strategic Company Management”.Downloads
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