Concatenate Convolutional Neural Networks for Non-Intrusive Load Monitoring across Complex Background

Concatenate Convolutional Neural Networks for Non-Intrusive Load Monitoring across Complex Background

Non-Intrusive Load Monitoring (NILM) provides a way to acquire detailed energy consumption and appliance operation status through a single sensor, which has been proven to save energy. Further, besides load disaggregation, advanced applications (e.g., demand response) need to recognize on/off events...

Full description

Bibliographic Details
Main Authors: Qian Wu, Fei Wang
Format: Article
Language:English
Published: MDPI AG 2019-04-01
Series:Energies
Subjects:
non-intrusive load monitoring
energy disaggregation
deep learning
source separation
Online Access:https://www.mdpi.com/1996-1073/12/8/1572

Similar Items

Similar Items