卢冠华, 陈俊斌, 丁茂生, 杨慧彪. 知识图谱在电力系统调度运行中的应用与展望[J]. 电力信息与通信技术, 2023, 21(7): 27-35. DOI: 10.16543/j.2095-641x.electric.power.ict.2023.07.04
引用本文: 卢冠华, 陈俊斌, 丁茂生, 杨慧彪. 知识图谱在电力系统调度运行中的应用与展望[J]. 电力信息与通信技术, 2023, 21(7): 27-35. DOI: 10.16543/j.2095-641x.electric.power.ict.2023.07.04
LU Guanhua, CHEN Junbin, DING Maosheng, YANG Huibiao. Application and Prospect of Knowledge Graph in Power System Dispatching Operation[J]. Electric Power Information and Communication Technology, 2023, 21(7): 27-35. DOI: 10.16543/j.2095-641x.electric.power.ict.2023.07.04
Citation: LU Guanhua, CHEN Junbin, DING Maosheng, YANG Huibiao. Application and Prospect of Knowledge Graph in Power System Dispatching Operation[J]. Electric Power Information and Communication Technology, 2023, 21(7): 27-35. DOI: 10.16543/j.2095-641x.electric.power.ict.2023.07.04

知识图谱在电力系统调度运行中的应用与展望

Application and Prospect of Knowledge Graph in Power System Dispatching Operation

  • 摘要: 知识图谱是人工智能技术领域新兴起的一种知识表达方法,是当前知识自动化领域的研究热门。知识图谱通过三元组关系表达实体与实体间的关系,从而将知识以“图”的形式表达出来。由于电力系统本身拓扑结构契合于图论的关系结构,以知识图谱的方式表达电力系统调度运行中潜藏的知识已经成为国内外研究的重点。文章从电力系统中人工智能的发展、知识图谱在各个领域的应用、知识图谱的构建及知识挖掘方法,对目前知识图谱的研究成果加以总结,并对这一领域在电力系统的应用做进一步的展望。

     

    Abstract: Knowledge graph (KG) is an emerging knowledge representation method in the field of artificial intelligence technology, and is a hot research topic in the field of knowledge automation. Knowledge graph expresses the relationship between entities through triples, and thus expresses knowledge in the form of "graph". Because the topological structure of power system fits the relation structure of graph theory, it has become the focus of domestic and foreign research to express the hidden knowledge in power system dispatching operation by the way of knowledge graph. In this paper, the existing achievements of knowledge graph are summarized involving the development of artificial intelligence in power system, the application of knowledge graph in various fields, the construction of knowledge graph and the method of knowledge mining, and the further application of knowledge graph in power system is prospected.

     

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