Construction and Application of the Knowledge Graph Based on Power Load Management Standards

Recently, many issues exist in application of power load management standards, including complex knowledge, extensive range of specialties, lack of systematic and scientific storage means, and low utilization efficiency. To deal with these issues, a knowledge graph of power load management standards is constructed. The data source is from relevant standards that support the construction of virtual power plant. Firstly, the schema layer is defined based on standard documents characteristics and semantic analysis. Secondly, the regular expressions and <tex xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">$T 5$</tex> model are used to conduct knowledge extraction on semi-structured and non-structured data from standards documents. Thirdly, the graph database is selected to store the knowledge of power load management standards. Finally, the knowledge graph provided by the paper is used to query basic information on power load management standards, functional module of virtual power plant construction and technical requirements. This significantly improves the utilization of standard documents and promotes the intelligent construction of power load management.

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Publication Details

Published
2024-12-13
DOI
https://doi.org/10.1109/icpes63746.2024.10856599
Primary Topic
Power Systems and Technologies
Type
article
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article

Construction and Application of the Knowledge Graph Based on Power Load Management Standards

Bohai Zhang, Minjiang Xiang, Xu Zhang, Jingshan Xiao et al.
Power Systems and Technologies
article

Construction and Application of the Knowledge Graph Based on Power Load Management Standards

Bohai Zhang, Minjiang Xiang, Xu Zhang, Jingshan Xiao, Ning Niu
article en

Abstract

Recently, many issues exist in application of power load management standards, including complex knowledge, extensive range of specialties, lack of systematic and scientific storage means, and low utilization efficiency. To deal with these issues, a knowledge graph of power load management standards is constructed. The data source is from relevant standards that support the construction of virtual power plant. Firstly, the schema layer is defined based on standard documents characteristics and semantic analysis. Secondly, the regular expressions and <tex xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">$T 5$</tex> model are used to conduct knowledge extraction on semi-structured and non-structured data from standards documents. Thirdly, the graph database is selected to store the knowledge of power load management standards. Finally, the knowledge graph provided by the paper is used to query basic information on power load management standards, functional module of virtual power plant construction and technical requirements. This significantly improves the utilization of standard documents and promotes the intelligent construction of power load management.

State Grid Corporation of China (China) (CN)
Affordable and clean energy
Openalex Percentile: Top 76%
Power Systems and Technologies
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