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Cloud-Edge Collaboration Based Data Mining for Power Distribution Networks

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Communications and Networking (ChinaCom 2021)

Abstract

The automation rapid development of the power distribution network have not been fully utilized with the terminal coverage rate increment. The demand and complexity of the power distribution network applications are also fast updated leading a huge calculation pressure from cloud service. This paper does data mining from power distribution network in three aspects, including delay, complexity and power. It defines them with respective weights according to the application requirements, and propose a cloud-edge collaborative communication scheme to effectively reduce the computing complexity of the system.

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Acknowledgment

This research work is supported by the National Key Research and Development Program of China (2021YFE0105500); and the National Natural Science Foundation of China (61801166).

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Correspondence to Xin Su .

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An, L., Su, X. (2022). Cloud-Edge Collaboration Based Data Mining for Power Distribution Networks. In: Gao, H., Wun, J., Yin, J., Shen, F., Shen, Y., Yu, J. (eds) Communications and Networking. ChinaCom 2021. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 433. Springer, Cham. https://doi.org/10.1007/978-3-030-99200-2_33

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  • DOI: https://doi.org/10.1007/978-3-030-99200-2_33

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-99199-9

  • Online ISBN: 978-3-030-99200-2

  • eBook Packages: Computer ScienceComputer Science (R0)

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