Big Data Research ›› 2019, Vol. 5 ›› Issue (2): 64-78.doi: 10.11959/j.issn.2096-0271.2019014

Special Issue: 边缘计算

• TOPIC::EDGE COMPUTING • Previous Articles     Next Articles

Edge computing enabled smart grid

Cong ZHANG1,Xiaoyi FAN2,Xiaoten LIU2,Haitian PANG3,Lifeng SUN3,Jiangchuan LIU2   

  1. 1 School of Computer Science and Technology,University of Science and Technology,Hefei 230027,China
    2 Jiangxing Intelligence Inc.,Shenzhen 518000,China
    3 Department of Computer Science and Technology,Tsinghua University,Beijing 100084,China
  • Online:2019-03-15 Published:2019-04-04
  • Supported by:
    The National Natural Science Foundation of China(61472204);The National Natural Science Foundation of China(6152100);National Key Research and Development Program of China(2018YFB1003703);Beijing Key Laboratory of Networked Multimedia Program(Z161100005016051)

Abstract:

How to mitigate such pressure has become a critical challenge for global grid enterprises.Empowered by the development of IoT techniques,high-speed communications,and AI-chips,traditional grid enterprises are trying to adopt these new techniques to solve the challenge,especially in heterogeneous data collection,energy scheduling,and AI-enabled monitoring.Firstly,the background of smart grid and the history of edge computing were introduced.Then,edge computing enabled solutions were illustrated in three typical grid scenarios.Finally,two edge computing platforms at home and abroad were introduced.The main technologies and application scenarios of them were also analyzed.

Key words: edge computing, smart grid, container and virtualization

CLC Number: 

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