4.4 Article

A Data-Driven Analysis on Sustainable Energy Security: Challenges and Opportunities in World Regions

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出版社

IGI GLOBAL
DOI: 10.4018/JGIM.287608

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Bibliometric Analyses; Data-Driven; Energy Security; Fuzzy DEMATEL; Renewable Energy; Sustainable Development

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This study provides a data-driven analysis on the importance of renewable energy in sustainable energy security and reveals regional issues. By validating 19 indicators and showing future trends, the study enriches our understanding of renewable energy and guides future research and global assessment.
This study provides a data-driven analysis that illustrates a clear renewable energy depiction in sustainable energy security and unveils the regional issues. A hybrid method is proposed to validate those indicators and shows the trend of future studies. This study enriches the challenges and opportunities by contributing to understand the fundamental knowledge of renewable energy in sustainable energy security, conveyance directions for future study and investigation, and assessment on global renewable energy position and regional disparities. There are 19 valid indicators, in which energy demand, energy policy, renewable resources, smart grid, and uncertainty represent the future trends. World regional comparison includes 115 countries/territories categorized into five geographical regions. The results show that those indicators have addressed different issues in the world regional comparison.

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