Non-Intrusive Load Monitoring System Based on Convolution Neural Network and Adaptive Linear Programming Boosting

Non-Intrusive Load Monitoring System Based on Convolution Neural Network and Adaptive Linear Programming Boosting

Non−intrusive load monitoring based on power measurements is a promising topic of appliance identification in the research of smart grid; where the key is to avoid the power sub-item measurement in load monitoring. In this paper; a three−step non−intrusive load monitori...

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Bibliographic Details
Main Authors: Chao Min, Guoquan Wen, Zhaozhong Yang, Xiaogang Li, Binrui Li
Format: Article
Language:English
Published: MDPI AG 2019-07-01
Series:Energies
Subjects:
non–intrusive load monitoring
appliance identification
convolution neural network
adaptive linear programming boosting
Online Access:https://www.mdpi.com/1996-1073/12/15/2882

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https://www.mdpi.com/1996-1073/12/15/2882

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