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Application of edge-cloud collaborative intelligence technologies in power grids

  • Xi'an Jiaotong University
  • Global Energy Interconnection Research Institute Co. Ltd., Beijing

Research output: Contribution to journalArticlepeer-review

10 Scopus citations

Abstract

With the continuous development of the Internet of things on electricity (IoTE) and large-scale deployment of intelligent edge devices, an explosively increasing amount of data are being generated at the network edge. The efficient, fast and secure processing and analysis of the massive edge located data brings great challenges for the traditional cloud computing-based intelligence technologies. Instead, edge-cloud collaborative intelligence (ECCI) technologies can significantly outperform the cloud computing-based intelligence in terms of the network bandwidth saving, delay reduction and privacy protection, and therefore have shown a great potential in boosting the development of power grids. To investigate the application of ECCI in power grids, the concept and research progress of ECCI were firstly introduced. The characteristics and advantages of ECCI were summarized and its applicability in the power grids were discussed. Secondly, the key technologies of ECCI applications for power grids were discussed and the solutions based on ECCI technologies for two typical scenes were proposed respectively. Finally, a brief discussion of future work was given.

Original languageEnglish
Pages (from-to)62-71
Number of pages10
JournalChinese Journal on Internet of Things
Volume5
Issue number1
DOIs
StatePublished - 1 Mar 2021

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 7 - Affordable and Clean Energy
    SDG 7 Affordable and Clean Energy

Keywords

  • Artificial intelligence
  • Edge computing
  • Edge-cloud collaborative intelligence
  • Internet of things on electricity
  • Smart grid

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