Intelligent retrieval method for power grid dispatching information based on knowledge graph

被引：0

作者：

Hou, Baoyu ^{[1
]}

Wang, Qichao ^{[1
]}

Zhou, Zhiguo ^{[1
]}

机构：

[1] State Grid Zhejiang Electric Power Company, Quzhou Power Supply Company, Quzhou

来源：

International Journal of Business Intelligence and Data Mining | 2025年 / 26卷 / 3-4期

关键词：

Hamming space; knowledge graph; nearest neighbour retrieval; term dictionary tree;

D O I：

10.1504/IJBIDM.2025.145356

中图分类号：

学科分类号：

摘要：

To improve the retrieval efficiency of power grid dispatch information, the paper proposes an intelligent retrieval method based on knowledge graph. Firstly, after mining the terminology of power grid dispatch information, the entities and relationships in the power grid dispatch information are extracted to obtain a string of entity names in the terminology dictionary, achieving the design of the knowledge graph pattern layer for power grid dispatch information. Finally, the power grid dispatch information is embedded into a discrete Hamming space, and the nearest neighbour retrieval method is used in the embedded space to achieve intelligent retrieval of power grid dispatch information. The experimental results show that the intelligent retrieval accuracy of our method can reach 98.51%, the recall rate of our method can reach 98.32%, and the time consumption of our method is only 6.6 seconds. The retrieval efficiency of power grid dispatch information is relatively high. Copyright © 2025 Inderscience Enterprises Ltd.

引用

页码：431 / 447

页数：16

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