Automated Construction of Knowledge Graphs: Advancing Intelligence in Electrical Power Systems through Fault Diagnosis, Optimization, and Decision Support

Author(s)	Mr Nagesh Kamble, Dr Pooja Paratwar
Country	India
Abstract	The introduction of knowledge graphs (KGs) in the electric power system aims to leverage the extensive data generated by the electric power Internet of Things (IoT). By structuring concepts, entities, events, and their interrelationships, KGs enhance the organization, management, and cognitive processing of cross-media big data within the electrical power industry. This paper presents an innovative approach to automatically constructing knowledge graphs. Furthermore, it delves into detailed applications of KGs in power equipment inspection and explores their potential directions and challenges in future implementations within the sector.
Keywords	knowledge graph; electric power system; power equipment;entity extraction
Field	Engineering
Published In	Volume 16, Issue 2, April-June 2025
Published On	2025-04-17
Cite This	Automated Construction of Knowledge Graphs: Advancing Intelligence in Electrical Power Systems through Fault Diagnosis, Optimization, and Decision Support - Mr Nagesh Kamble, Dr Pooja Paratwar - IJSAT Volume 16, Issue 2, April-June 2025. DOI 10.71097/IJSAT.v16.i2.3811
DOI	https://doi.org/10.71097/IJSAT.v16.i2.3811
Short DOI	https://doi.org/g9f2gz

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