A Potential Solution for Intelligent Energy Management - Knowledge Graph
Xiang Wang, Chao Ma, Peiyun Liu, Bowen Pan, Zi-Lu Kang · 2018
Energy Internet is a complex network formed on the basis of the Internet and other cutting-edge information technologies. It takes distributed renewable energy as main energy source and tightly coupled with natural gas networks, transportation networks and other systems. This complex structure poses severe challenges for energy management, including complex context modeling, heterogeneous data analysis, distributed nodes integration and dynamic controlling. The great achievement of semantic technologies obtained in the area of energy management verified the advantages of knowledge engineering in complex system scheduling and controlling. As an improved form of knowledge representation, knowledge graph has great potential in complicated energy management, which consists of a large number of interconnected concepts, entities and events. By now the knowledge graph has been widely used in various areas, such as semantic searching, automatic question answering and intelligent decision-making. However it is hardly seen in the filed of energy. In this paper, after a brief introduction of the background of Energy Internet, we illustrate some existing works related to semantic energy management. Then we introduce the meaning of knowledge graph and the key technologies which are critical to the construction of a knowledge graph. It is expected that more successful use cases of knowledge graph in the field of Energy Internet would come out in the near future.