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

Year: 2025

Type: article

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.

Source: International Journal on Science and Technology

DOI: 10.71097/ijsat.v16.i2.3811

Authors: Mr Nagesh Kamble -, Dr Pooja Paratwar -

Language: English

Topic: Advanced Graph Neural Networks

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

SDGs: Industry, innovation and infrastructure, Affordable and clean energy

Open Access status: hybrid

OpenAlex ID: W4409573236

FWCI:

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