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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

科研成果: 期刊稿件文章同行评审

10 引用 (Scopus)

摘要

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.

源语言英语
页(从-至)62-71
页数10
期刊Chinese Journal on Internet of Things
5
1
DOI
出版状态已出版 - 1 3月 2021

联合国可持续发展目标

此成果有助于实现下列可持续发展目标:

  1. 可持续发展目标 7 - 经济适用的清洁能源
    可持续发展目标 7 经济适用的清洁能源

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