IEEE Terms Analysis of 2019-2024 IEEE Xplore Data on the Topic of Energy Systems
DOI:
https://doi.org/10.25729/esr.2024.02.0003Keywords:
IEEE Terms, IEEE Xplore, energy systems, VOSviewer, Scimago Graphica, fpgrowthAbstract
The keyword selection is crucial for the search of relevant literature and requires justification of queries to abstract databases and other sources to ensure accuracy and completeness of material collection. The topic "Energy Systems" is especially relevant due to the advancements of renewable energy sources, the application of modern management techniques and the increasing complexity of energy systems during the energy transition. The purpose of this work was to identify keywords that will be useful to subject-matter experts when gathering literature on the given topic, based on the records in the IEEE Terms field. Bibliometric data were exported from the IEEE Xplore platform in the following order: each 2,000 records sorted by relevance for the years 2019-2023 and 1,680 records relevant as of April 11, 2024 for the year 2024. The analysis rests on VOSviewer and Scimago Graphica, implementing the Clauset-Newman-Moore algorithm, and the agglomerative hierarchical clustering method implemented in Multidendrograms. Based on the findings, the main aspects of the Energy Systems topic are presented in tabular and graphical formats. The use of the fpgrowth utility demonstrated flexible capabilities in data preparation, which makes it worthwhile to conduct a separate study to analyze the ranking of the term co-occurrence obtained with its application.
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