Using improved support vector regression to predict the transmitted energy consumption data by distributed wireless sensor network

Using improved support vector regression to predict the transmitted energy consumption data by distributed wireless sensor network

Abstract Massive energy consumption data of buildings was generated with the development of information technology, and the real-time energy consumption data was transmitted to energy consumption monitoring system by the distributed wireless sensor network (WSN). Accurately predicting the energy con...

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Bibliographic Details
Main Authors: Ni Guo, Weifeng Gui, Wei Chen, Xin Tian, Weiguo Qiu, Zijian Tian, Xiangyang Zhang
Format: Article
Language:English
Published: SpringerOpen 2020-06-01
Series:EURASIP Journal on Wireless Communications and Networking
Subjects:
Distributed wireless sensor network
Energy consumption
Machine learning
Feature selection
Climate factors
Online Access:http://link.springer.com/article/10.1186/s13638-020-01729-x

Internet

http://link.springer.com/article/10.1186/s13638-020-01729-x

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