A survey on the development status and application prospects of knowledge graph in smart grids
Jian Wang, Xi Wang, Chaoqun Ma, Lei Kou

TL;DR
This survey reviews the development, architecture, and application prospects of knowledge graphs in smart grids, highlighting their potential to enhance data interoperability, decision-making, and intelligent power system management.
Contribution
It provides a comprehensive overview of electric power knowledge mining, knowledge graph architecture, key technologies, and future application prospects in smart grids.
Findings
Knowledge graphs enable semantic interoperability in smart grids.
They support intelligent applications like decision-making and equipment maintenance.
Challenges include data integration and scalability.
Abstract
With the advent of the electric power big data era, semantic interoperability and interconnection of power data have received extensive attention. Knowledge graph technology is a new method describing the complex relationships between concepts and entities in the objective world, which is widely concerned because of its robust knowledge inference ability. Especially with the proliferation of measurement devices and exponential growth of electric power data empowers, electric power knowledge graph provides new opportunities to solve the contradictions between the massive power resources and the continuously increasing demands for intelligent applications. In an attempt to fulfil the potential of knowledge graph and deal with the various challenges faced, as well as to obtain insights to achieve business applications of smart grids, this work first presents a holistic study of…
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Taxonomy
Methodstravel james
