A Novel Research Clustering Scheme Using Bibliometric Analysis: A Case Study Of Global Trend In Electrical Power System Load Shedding

Khatib, Tamer T.N. and Khamis, Aziah and Muhammad, Nor Aishah and Ridzuan, Razaman (2021) A Novel Research Clustering Scheme Using Bibliometric Analysis: A Case Study Of Global Trend In Electrical Power System Load Shedding. Iranian Journal of Science and Technology - Transactions of Electrical Engineering, 45 (4). pp. 1239-1254. ISSN 2228-6179

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Abstract

This paper presents a novel research clustering scheme based on bibliometric analysis to identify the state of the art and the trends of electrical power system load shedding research area. The proposal of this paper involves two major steps. Firstly, the topic phrases are extracted using bibliometric analysis to identify the general trend of the research area. Secondly, the proposed novel research clustering scheme is performed. The proposed scheme focuses on identifying the popular topics, and research focuses of a research area. An extensive test is conducted by considering 1548 scholarly outputs from Scopus database, where 36 popular topics are extracted by using the proposed method. Results also show that microgrid cluster is the biggest cluster in this research area. It is found that the percentage of growth of the microgrid cluster is 39.6%. On the other hand, the percentage of publication growth for voltage stability cluster is found slightly above 9%. Similarly, the transient stability cluster has a publication growth of - 5.6%. Meanwhile, power system reliability cluster publication growth was 12.9%. Finally, the observation likewise reveals that China, Iran, and the UK were the most popular countries for these four popular topics

Item Type:	Article
Uncontrolled Keywords:	Bibliometrics Analysis, Research Clustering Scheme, Load Shedding Study, Research Evaluation, Information Science
Divisions:	Faculty of Electrical Engineering
Depositing User:	Norfaradilla Idayu Ab. Ghafar
Date Deposited:	05 May 2022 10:14
Last Modified:	05 May 2022 10:14
URI:	http://eprints.utem.edu.my/id/eprint/25703
Statistic Details:	View Download Statistic

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