CiteSpace Based Knowledge Mapping Research of Artificial Intelligence Technology in Power System

Hongsheng Xu, Jixiang Lu, Zhihong Yang
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引用次数: 1

Abstract

Recently, the rapid development of Artificial Intelligence (AI) has attracted more and more attention. It has been over two decades since AI techniques emerged in power systems as effective tools to solve many complex problems. The new generation AI technologies will promote energy transition and support future power system with no doubt. This paper tried to grasp the research hotspots, frontiers and mainstream trends of AI research in power systems through a literature data collected from the Web of Science (WOS) database between 2010 and 2018, by using a widely used tool in knowledge mapping—CiteSpace. The collaboration networks were analyzed among different countries/regions and institutions contributing to the publications. A detailed discussion was given based on the general statistical data and the visualized knowledge maps. The pivotal and mushrooming articles were identified and reviewed by introducing the betweenness centrality and citation bursts as indicators.
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基于CiteSpace的电力系统人工智能技术知识图谱研究
近年来,人工智能(AI)的快速发展引起了越来越多的关注。自人工智能技术作为解决许多复杂问题的有效工具出现在电力系统中以来,已有二十多年的历史。毫无疑问,新一代人工智能技术将促进能源转型,支持未来的电力系统。本文以2010年至2018年WOS数据库的文献数据为基础,利用广泛使用的知识图谱工具citespace,试图把握电力系统人工智能研究的研究热点、前沿和主流趋势。分析了不同国家/地区和出版机构之间的合作网络。基于一般的统计数据和可视化的知识图谱,进行了详细的讨论。通过引入中间度、中心性和引文爆发作为指标,对核心文章和快速增长的文章进行了识别和评价。
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