A hybrid model for appliance classification based on time series features-Reference-Cited by-同舟云学术

A hybrid model for appliance classification based on time series features

Published:2019-08 Issue: Volume:196 Page:112-123
ISSN:0378-7788
Container-title:Energy and Buildings
language:en
Short-container-title:Energy and Buildings

Author:

Liu Hui,Wu Haiping,Yu Chenming

Funder

National Natural Science Foundation of China

Changsha Science & Technology Project and Training Program for Excellent Young Innovators of Changsha

Shenghua Yu-ying Talents Program of the Central South University

Central South University

Publisher

Elsevier BV

Subject

Electrical and Electronic Engineering,Mechanical Engineering,Building and Construction,Civil and Structural Engineering

Reference45 articles.

1. Multiple power-based building energy management system for efficient management of building energy;Yoon;Sustain. Cities Soc.,2018

2. Advanced Metering Initiatives and Residential Feedback Programs: A Meta-Review for Household Electricity-Saving Opportunities;Ehrhardt-Martinez,2010

3. Nonintrusive appliance load monitoring;Hart;Proc. IEEE,1992

4. Machine learning approaches for non-intrusive load monitoring: from qualitative to quantitative comparation;Nalmpantis;Artif. Intell. Rev.,2018

5. Identification of harmonic loads using fast fourier transform and radial basis function neural network;Mubarok,2017

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