Improved Appliance Classification in Non-Intrusive Load Monitoring Using Weighted Recurrence Graph and Convolutional Neural Networks

Improved Appliance Classification in Non-Intrusive Load Monitoring Using Weighted Recurrence Graph and Convolutional Neural Networks

Appliance recognition is one of the vital sub-tasks of NILM in which a machine learning classier is used to detect and recognize active appliances from power measurements. The performance of the appliance classifier highly depends on the signal features used to characterize the loads. Recently, diff...

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Bibliographic Details
Main Authors: Anthony Faustine, Lucas Pereira
Format: Article
Language:English
Published: MDPI AG 2020-07-01
Series:Energies
Subjects:
non-intrusive load monitoring
appliance classification
appliance feature
recurrence graph
weighted recurrence graph
V–I trajectory
Online Access:https://www.mdpi.com/1996-1073/13/13/3374

Internet

https://www.mdpi.com/1996-1073/13/13/3374

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