A novel research clustering scheme using bibliometric analysis: a case study of global trend in electrical power system load shedding
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 bibliometr...
| Main Authors: | , , , |
|---|---|
| Format: | Article |
| Published: |
Springer Science and Business Media Deutschland GmbH
2021
|
| Subjects: |
| _version_ | 1796865906653003776 |
|---|---|
| author | Khamis, A. Khatib, T. Muhammad, N. A. Ridzuan, R. |
| author_facet | Khamis, A. Khatib, T. Muhammad, N. A. Ridzuan, R. |
| author_sort | Khamis, A. |
| collection | ePrints |
| description | 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. |
| first_indexed | 2024-03-05T21:04:13Z |
| format | Article |
| id | utm.eprints-94863 |
| institution | Universiti Teknologi Malaysia - ePrints |
| last_indexed | 2024-03-05T21:04:13Z |
| publishDate | 2021 |
| publisher | Springer Science and Business Media Deutschland GmbH |
| record_format | dspace |
| spelling | utm.eprints-948632022-04-29T21:54:42Z http://eprints.utm.my/94863/ A novel research clustering scheme using bibliometric analysis: a case study of global trend in electrical power system load shedding Khamis, A. Khatib, T. Muhammad, N. A. Ridzuan, R. TK Electrical engineering. Electronics Nuclear engineering 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. Springer Science and Business Media Deutschland GmbH 2021 Article PeerReviewed Khamis, A. and Khatib, T. and Muhammad, N. A. and Ridzuan, R. (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). ISSN 2228-6179 http://dx.doi.org/10.1007/s40998-021-00430-z DOI: 10.1007/s40998-021-00430-z |
| spellingShingle | TK Electrical engineering. Electronics Nuclear engineering Khamis, A. Khatib, T. Muhammad, N. A. Ridzuan, R. A novel research clustering scheme using bibliometric analysis: a case study of global trend in electrical power system load shedding |
| title | A novel research clustering scheme using bibliometric analysis: a case study of global trend in electrical power system load shedding |
| title_full | A novel research clustering scheme using bibliometric analysis: a case study of global trend in electrical power system load shedding |
| title_fullStr | A novel research clustering scheme using bibliometric analysis: a case study of global trend in electrical power system load shedding |
| title_full_unstemmed | A novel research clustering scheme using bibliometric analysis: a case study of global trend in electrical power system load shedding |
| title_short | A novel research clustering scheme using bibliometric analysis: a case study of global trend in electrical power system load shedding |
| title_sort | novel research clustering scheme using bibliometric analysis a case study of global trend in electrical power system load shedding |
| topic | TK Electrical engineering. Electronics Nuclear engineering |
| work_keys_str_mv | AT khamisa anovelresearchclusteringschemeusingbibliometricanalysisacasestudyofglobaltrendinelectricalpowersystemloadshedding AT khatibt anovelresearchclusteringschemeusingbibliometricanalysisacasestudyofglobaltrendinelectricalpowersystemloadshedding AT muhammadna anovelresearchclusteringschemeusingbibliometricanalysisacasestudyofglobaltrendinelectricalpowersystemloadshedding AT ridzuanr anovelresearchclusteringschemeusingbibliometricanalysisacasestudyofglobaltrendinelectricalpowersystemloadshedding AT khamisa novelresearchclusteringschemeusingbibliometricanalysisacasestudyofglobaltrendinelectricalpowersystemloadshedding AT khatibt novelresearchclusteringschemeusingbibliometricanalysisacasestudyofglobaltrendinelectricalpowersystemloadshedding AT muhammadna novelresearchclusteringschemeusingbibliometricanalysisacasestudyofglobaltrendinelectricalpowersystemloadshedding AT ridzuanr novelresearchclusteringschemeusingbibliometricanalysisacasestudyofglobaltrendinelectricalpowersystemloadshedding |