Time-Lapse Image Method for Classifying Appliances in Nonintrusive Load Monitoring

In this paper, a time-lapse image method is proposed to improve the classification accuracy for multistate appliances with complex patterns based on nonintrusive load monitoring (NILM). A log-likelihood ratio detector with a maxima algorithm was applied to construct a real-time event detection of ho...

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Autores principales:	Joonho Seon, Youngghyu Sun, Soohyun Kim, Jinyoung Kim
Formato:	article
Lenguaje:	EN
Publicado:	MDPI AG 2021
Materias:	nonintrusive load monitoring Gramian angular field recurrence plot overlapping sliding window multistate appliances Technology T
Acceso en línea:	https://doaj.org/article/2b23a1c9cddb4bab96416c94b72d1034
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id	oai:doaj.org-article:2b23a1c9cddb4bab96416c94b72d1034
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spelling	oai:doaj.org-article:2b23a1c9cddb4bab96416c94b72d10342021-11-25T17:27:24ZTime-Lapse Image Method for Classifying Appliances in Nonintrusive Load Monitoring10.3390/en142276301996-1073https://doaj.org/article/2b23a1c9cddb4bab96416c94b72d10342021-11-01T00:00:00Zhttps://www.mdpi.com/1996-1073/14/22/7630https://doaj.org/toc/1996-1073In this paper, a time-lapse image method is proposed to improve the classification accuracy for multistate appliances with complex patterns based on nonintrusive load monitoring (NILM). A log-likelihood ratio detector with a maxima algorithm was applied to construct a real-time event detection of home appliances. Moreover, a novel image-combining method was employed to extract information from the data based on the Gramian angular field (GAF) and recurrence plot (RP) transformations. From the simulation results, it was confirmed that the classification accuracy can be increased by up to 30% with the proposed method compared with the conventional approaches in classifying multistate appliances.Joonho SeonYoungghyu SunSoohyun KimJinyoung KimMDPI AGarticlenonintrusive load monitoringGramian angular fieldrecurrence plotoverlapping sliding windowmultistate appliancesTechnologyTENEnergies, Vol 14, Iss 7630, p 7630 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	nonintrusive load monitoring Gramian angular field recurrence plot overlapping sliding window multistate appliances Technology T
spellingShingle	nonintrusive load monitoring Gramian angular field recurrence plot overlapping sliding window multistate appliances Technology T Joonho Seon Youngghyu Sun Soohyun Kim Jinyoung Kim Time-Lapse Image Method for Classifying Appliances in Nonintrusive Load Monitoring
description	In this paper, a time-lapse image method is proposed to improve the classification accuracy for multistate appliances with complex patterns based on nonintrusive load monitoring (NILM). A log-likelihood ratio detector with a maxima algorithm was applied to construct a real-time event detection of home appliances. Moreover, a novel image-combining method was employed to extract information from the data based on the Gramian angular field (GAF) and recurrence plot (RP) transformations. From the simulation results, it was confirmed that the classification accuracy can be increased by up to 30% with the proposed method compared with the conventional approaches in classifying multistate appliances.
format	article
author	Joonho Seon Youngghyu Sun Soohyun Kim Jinyoung Kim
author_facet	Joonho Seon Youngghyu Sun Soohyun Kim Jinyoung Kim
author_sort	Joonho Seon
title	Time-Lapse Image Method for Classifying Appliances in Nonintrusive Load Monitoring
title_short	Time-Lapse Image Method for Classifying Appliances in Nonintrusive Load Monitoring
title_full	Time-Lapse Image Method for Classifying Appliances in Nonintrusive Load Monitoring
title_fullStr	Time-Lapse Image Method for Classifying Appliances in Nonintrusive Load Monitoring
title_full_unstemmed	Time-Lapse Image Method for Classifying Appliances in Nonintrusive Load Monitoring
title_sort	time-lapse image method for classifying appliances in nonintrusive load monitoring
publisher	MDPI AG
publishDate	2021
url	https://doaj.org/article/2b23a1c9cddb4bab96416c94b72d1034
work_keys_str_mv	AT joonhoseon timelapseimagemethodforclassifyingappliancesinnonintrusiveloadmonitoring AT youngghyusun timelapseimagemethodforclassifyingappliancesinnonintrusiveloadmonitoring AT soohyunkim timelapseimagemethodforclassifyingappliancesinnonintrusiveloadmonitoring AT jinyoungkim timelapseimagemethodforclassifyingappliancesinnonintrusiveloadmonitoring
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Time-Lapse Image Method for Classifying Appliances in Nonintrusive Load Monitoring

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