Analyzing New Power System Scholarly Research Trends Based on CNKI Via CiteSpace

DOI

10.2991/978-94-6463-502-7_63How to use a DOI?

Keywords

New Power System; Cluster Analysis; Data Visualization; Bibliometrics

Abstract

The new power system is the key to energy and power transformation, and is of great significance to the realization of sustainable energy development. Scientific papers can reflect the development trend of technology and theory in a certain field and guide the future research direction. The purpose of this paper is to utilize text co-occurrence, cluster analysis and bibliometric analysis to explore the research hotspots and development trends of new power system. Firstly, a literature dataset of “new power system” was established based on CNKI database. Then, CiteSpace visual analysis software was used to analyze the keyword co-occurrence and cluster analysis of the literature dataset, and summarize the keyword clusters that can describe the new electric power system. Then, the keyword clusters were used as search fields to search the CNKI database and analyze the trend of publications in the fields described by the keyword clusters, so as to reveal the overall development trend of the research on new power systems. This study helps to clarify the current status of research on new power systems, grasp its development trend, and provide guidance for academic research and technological innovation in the field of energy and power. At the same time, the proposed research method can also be applied to the bibliometric analysis of other fields.

Copyright

© 2024 The Author(s)

Open Access

Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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TY  - CONF
AU  - Yanbo Wang
AU  - Yingkun Han
AU  - Yan Ma
AU  - Zhuo Yang
AU  - Tongxuan Chen
PY  - 2024
DA  - 2024/08/31
TI  - Analyzing New Power System Scholarly Research Trends Based on CNKI Via CiteSpace
BT  - Proceedings of the 2024 5th International Conference on Education, Knowledge and Information Management (ICEKIM 2024）
PB  - Atlantis Press
SP  - 607
EP  - 616
SN  - 2589-4900
UR  - https://doi.org/10.2991/978-94-6463-502-7_63
DO  - 10.2991/978-94-6463-502-7_63
ID  - Wang2024
ER  -