# A survey on the development status and application prospects of knowledge graph in smart grids

**Authors:** Jian Wang, Xi Wang, Chaoqun Ma, Lei Kou  
**arXiv:** [2211.00901](https://arxiv.org/abs/2211.00901)  
**Date:** 2022-11-02  
**Summary page:** https://www.summarizepaper.com/en/paper/2211.00901v1/

## Key points

- Knowledge graph technology has potential in addressing challenges in the electric power big data era
- Semantic interoperability and interconnection of power data are important in this context
- Knowledge graph technology describes complex relationships between concepts and entities
- Electric power knowledge graphs can solve contradictions between power resources and intelligent applications
- The paper presents a holistic study on knowledge-driven intelligent application integration
- Electric power knowledge mining and knowledge graphs in smart grids are discussed
- The architecture of a big knowledge graph platform for smart grids is described
- Application prospects enabled by knowledge graphs include power consumer service, decision-making in dispatching, and operation and maintenance of power equipment
- Benefits of leveraging knowledge graphs include improved efficiency, accuracy, and intelligence
- Key issues and challenges related to implementing knowledge graphs in smart grids are summarized

## Summary

The paper titled "A survey on the development status and application prospects of knowledge graph in smart grids" by Jian Wang, Xi Wang, Chaoqun Ma, and Lei Kou explores the potential of knowledge graph technology in addressing the challenges faced in the electric power big data era. The authors highlight the importance of semantic interoperability and interconnection of power data in this context. Knowledge graph technology is a powerful method for describing complex relationships between concepts and entities in the objective world. It offers robust knowledge inference abilities, making it widely recognized and valued. With the proliferation of measurement devices and exponential growth of electric power data, there is an opportunity to leverage electric power knowledge graphs to solve contradictions between massive power resources and increasing demands for intelligent applications. To fulfill this potential and overcome various challenges, the authors present a holistic study on knowledge-driven intelligent application integration. They provide a detailed overview of electric power knowledge mining as well as introduce the concept of knowledge graphs in smart grids. The paper also describes the architecture of a big knowledge graph platform for smart grids along with critical technologies involved. Furthermore, the authors elaborate on several application prospects enabled by knowledge graphs in smart grids such as power consumer service, decision-making in dispatching, and operation and maintenance of power equipment. By leveraging knowledge graphs, these areas can benefit from improved efficiency, accuracy, and intelligence. Finally, the paper summarizes key issues and challenges related to implementing knowledge graphs in smart grids. This comprehensive survey provides valuable insights into the development status and future prospects of utilizing knowledge graph technology in addressing complex problems within smart grid systems.