Review of Automatic Methods for Knowledge Graph Construction in Power Systems

Authors- Mr. Nagesh Kamble1, Dr. Pooja Paratwar

Abstract-– This review examines automatic methods for constructing knowledge graphs in power systems, highlighting their role in integrating heterogeneous operational data and prior knowledge to address the increasing complexity of modern grids. It summarizes key techniques—including knowledge extraction, representation, and reasoning—and explores their applications in fault diagnosis, equipment monitoring, and operational decision support. By systematically analyzing current research and practical implementations, the review demonstrates how knowledge graphs enhance efficiency, reliability, and intelligence in power system management. Future prospects for advancing smart grids and multidisciplinary integration are also discussed, emphasizing the transformative potential of knowledge graph technologies in the energy sector.

DOI: /10.61463/ijset.vol.13.issue2.332