Bibliometric Analysis of Extreme Weather Research: Patterns and Partnerships in Power Grid Resilience Studies

Mohammad Ali Tofigh (), Jeyraj Selvaraj () and Nasrudin Abd Rahim
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Mohammad Ali Tofigh: Higher Institution Center of Excellence (HICoE), UM Power Energy Dedicated Center (UMPEDAC), Level 4, Wisma R&D, Universiti Malaya, Jalan Pantai Baharu, Kuala Lumpur 59990, Malaysia
Jeyraj Selvaraj: Higher Institution Center of Excellence (HICoE), UM Power Energy Dedicated Center (UMPEDAC), Level 4, Wisma R&D, Universiti Malaya, Jalan Pantai Baharu, Kuala Lumpur 59990, Malaysia
Nasrudin Abd Rahim: Higher Institution Center of Excellence (HICoE), UM Power Energy Dedicated Center (UMPEDAC), Level 4, Wisma R&D, Universiti Malaya, Jalan Pantai Baharu, Kuala Lumpur 59990, Malaysia

Sustainability, 2025, vol. 17, issue 12, 1-20

Abstract: The reliability and robustness of global electrical networks are being impacted by the reciprocal effects of climate change and severe weather events. This article assesses research and collaborative trends to further these concerns. This study attempts to identify trends, principal contributors, and emerging fields of research by a comprehensive bibliometric analysis of articles relevant to power system resilience during extreme weather events. A comprehensive search was conducted in the Web of Science and Scopus databases to acquire appropriate papers from 2014 to 2025. The implementation criteria for eligibility requirements comprised peer-reviewed publications, including reviews and conference papers. The Bibliometrix and Biblioshiny tools were used to conduct data analysis, evaluating keyword co-occurrences, citation networks, and cooperation networks. The study selection process and reporting adhered to the PRISMA 2020 framework. A dataset of 1178 documents from 535 sources indicated an annual growth rate of 13.06%. China was the most producing country, while the USA, China, UK, and Iran became the most cited countries. Keyword analysis identified common topics including resilience, power outages, and extreme weather, alongside an increasing focus on AI-driven modeling, distributed energy resources, and optimization algorithms. This systematic review emphasizes the growing research field addressing power system resilience, focusing on improvements in modeling strategies, optimization approaches, and risk management applications. Future research must concentrate on the integration of AI, evaluations of regional vulnerabilities, and the development of predictive frameworks to tackle rising climate concerns.

Keywords: power system resilience; extreme weather conditions; power outages; climate change; bibliometric analysis; scientific contribution (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2025
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