Issue |
E3S Web Conf.
Volume 501, 2024
International Conference on Computer Science Electronics and Information (ICCSEI 2023)
|
|
---|---|---|
Article Number | 01016 | |
Number of page(s) | 6 | |
Section | Applied Computer Science and Electronics for sustainability | |
DOI | https://doi.org/10.1051/e3sconf/202450101016 | |
Published online | 18 March 2024 |
Applications of artificial intelligence in renewable energy: a bibliometric analysis of the scientific production indexed in scopus
1
Computer Science Department, School of Computer Science, Bina Nusantara University, Jakarta, Indonesia 11480
2 Telecommunication Research Center, National Research and Innovation Agency, Jakarta, Indonesia 11480
3 Informatics Engineering Study Program, University of Madura, Pamekasan, Indonesia
4 Entrepreneurship Business Creation, BINUS Business School, Bina Nusantara University, Jakarta, Indonesia 11480
5 Faculty of Medicine, Airlangga, Surabaya, 60132, Indonesia
* Corresponding author: fairuz.maulana@binus.edu
The integration of Artificial Intelligence (AI) into renewable energy systems represents atransformative approach to addressing the challenges of energy sustainability and climate change. This paper conducts a comprehensive bibliometric analysis of the scientific production related to AI applications inrenewable energy, as indexed in Scopus over the last decade (2014-2023). The study identified research collaborations between various institutions, and countries and noted leading research contributions in this field. The famous authors in this specific field include of Olabi, A.G., Abdelkareem, M.A., and Zhou, Y., while the notable institutions include University of Sharjah, Ministry of Education of the People’s Republic of China, and Tsinghua University. The China, India, and United States were the most productive countries, with 103, 83, and 49 articles. The network visualisation analysis conducted with VOS viewer revealed the presence of 4 distinct clusters, each identified by its respective hue. The findings of this research have the capacity to offer significant understanding for academics, professionals, policymakers, and funding institutions aiming to get a comprehensive understanding of the present patterns and goals within this specific field. The findings obtained from this study offer a helpful structure for future research paths and emphasise the need for ongoing investment in Application of Artificial Intelligence to attain in Renewable Energy future.
© The Authors, published by EDP Sciences, 2024
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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