Background Load Denoising across Complex Load Based on Generative Adversarial Network to Enhance Load Identification

Background Load Denoising across Complex Load Based on Generative Adversarial Network to Enhance Load Identification

Non-Intrusive Load Monitoring (NILM) allows load identification of appliances through a single sensor. By using NILM, users can monitor their electricity consumption, which is beneficial for energy efficiency or energy saving. In advance NILM systems, identification of appliances on/off events shoul...

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Bibliographic Details
Main Authors: Afifatul Mukaroh, Thi-Thu-Huong Le, Howon Kim
Format: Article
Language:English
Published: MDPI AG 2020-10-01
Series:Sensors
Subjects:
NILM
complex background
denoising
load identification
GAN
CNN
Online Access:https://www.mdpi.com/1424-8220/20/19/5674

Internet

https://www.mdpi.com/1424-8220/20/19/5674

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