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The use of edge computing-based internet of things big data in the design of power intelligent management and control platform

The use of edge computing-based internet of things big data in the design of power intelligent... The purpose of this research is to apply the Internet of Things (IoT) and big data technology to the power management and control platform, and improve the intelligent level of power management and control. Based on edge computing and cloud platform technology, this research designed a power intelligent management and control platform and a lightning positioning system based on the Internet of Things technology. Finally, taking the Shaanxi regional power grid as an example, the power consumption data of 8000 users was selected as the data source for cluster analysis. The results found that the power intelligent management and control platform can monitor power equipment online, realise intelligent analysis of multi-source data, and is better than traditional centralised algorithms in classification accuracy and platform running time, in the hope that its good management and control performance can be applied in practice. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png International Journal of Grid and Utility Computing Inderscience Publishers

The use of edge computing-based internet of things big data in the design of power intelligent management and control platform

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Publisher
Inderscience Publishers
Copyright
Copyright © Inderscience Enterprises Ltd
ISSN
1741-847X
eISSN
1741-8488
DOI
10.1504/ijguc.2022.121426
Publisher site
See Article on Publisher Site

Abstract

The purpose of this research is to apply the Internet of Things (IoT) and big data technology to the power management and control platform, and improve the intelligent level of power management and control. Based on edge computing and cloud platform technology, this research designed a power intelligent management and control platform and a lightning positioning system based on the Internet of Things technology. Finally, taking the Shaanxi regional power grid as an example, the power consumption data of 8000 users was selected as the data source for cluster analysis. The results found that the power intelligent management and control platform can monitor power equipment online, realise intelligent analysis of multi-source data, and is better than traditional centralised algorithms in classification accuracy and platform running time, in the hope that its good management and control performance can be applied in practice.

Journal

International Journal of Grid and Utility ComputingInderscience Publishers

Published: Jan 1, 2022

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