Anomaly detection on household appliances based on variational autoencoders-Reference-Cited by-同舟云学术

Anomaly detection on household appliances based on variational autoencoders

Published:2022-12 Issue: Volume:32 Page:100823
ISSN:2352-4677
Container-title:Sustainable Energy, Grids and Networks
language:en
Short-container-title:Sustainable Energy, Grids and Networks

Author:

Castangia Marco^ORCID,Sappa Riccardo,Girmay Awet Abraha^ORCID,Camarda Christian,Macii Enrico,Patti Edoardo

Publisher

Elsevier BV

Subject

Electrical and Electronic Engineering,Energy Engineering and Power Technology,Renewable Energy, Sustainability and the Environment,Control and Systems Engineering

Reference26 articles.

1. UN climate change conference UK 2021,2021

2. Energy;Ritchie;Our World Data,2020

3. A compound of feature selection techniques to improve solar radiation forecasting;Castangia;Expert Syst. Appl.,2021

4. Demand response and smart grids—A survey;Siano;Renew. Sustain. Energy Rev.,2014

5. Deep learning for estimating building energy consumption;Mocanu;Sustain. Energy Grids Netw.,2016

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