Research Article
Cloud-Edge Collaboration Based Data Mining for Power Distribution Networks
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@INPROCEEDINGS{10.1007/978-3-030-99200-2_33, author={Li An and Xin Su}, title={Cloud-Edge Collaboration Based Data Mining for Power Distribution Networks}, proceedings={Communications and Networking. 16th EAI International Conference, ChinaCom 2021, Virtual Event, November 21-22, 2021, Proceedings}, proceedings_a={CHINACOM}, year={2022}, month={4}, keywords={Power distribution network Edge computing Cloud-Edge collaboration Data mining Computing complexity}, doi={10.1007/978-3-030-99200-2_33} }- Li An
Xin Su
Year: 2022
Cloud-Edge Collaboration Based Data Mining for Power Distribution Networks
CHINACOM
Springer
DOI: 10.1007/978-3-030-99200-2_33
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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