NILM-based approach for energy efficiency assessment of household appliances

Detalhes bibliográficos
Autor(a) principal: Garcia, Fernando D. [UNESP]
Data de Publicação: 2020
Outros Autores: Souza, Wesley A., Diniz, Ivando S. [UNESP], Marafão, Fernando P. [UNESP]
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Institucional da UNESP
Texto Completo: http://dx.doi.org/10.1186/s42162-020-00131-7
http://hdl.handle.net/11449/233155
Resumo: This paper presents a novel Non-Intrusive Load Monitoring (NILM) approach focusing on the Energy Efficiency (EE) assessment of residential appliances. This approach (NILMEE) is able to identify the individual consumption of several household devices, providing proper information for evaluating energy efficiency and pointing out the operational issues or labelling mismatches of appliances, while recommending better practices for energy usage in specific consumer installations. The proposed approach was developed and evaluated by embedding the NILM engine on an electronic power meter, which performs a microscopic analysis on measured voltages and currents and provides the load disaggregation using the Conservative Power Theory for the feature extraction, K-Nearest Neighbours for the appliance classification, and the Power Signature Blob for the energy disaggregation. The disaggregation algorithm performance evaluation is carried out using NILMTK. Results show that NILM transcends the regular energy usage calculation, serving as a tool that enables the diagnosis of household appliances using the energy efficiency indexes provided by labels and standards.
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spelling NILM-based approach for energy efficiency assessment of household appliancesEnergy efficiencyEnergy managementLoad disaggregationNon-intrusive load monitoringSmart meterThis paper presents a novel Non-Intrusive Load Monitoring (NILM) approach focusing on the Energy Efficiency (EE) assessment of residential appliances. This approach (NILMEE) is able to identify the individual consumption of several household devices, providing proper information for evaluating energy efficiency and pointing out the operational issues or labelling mismatches of appliances, while recommending better practices for energy usage in specific consumer installations. The proposed approach was developed and evaluated by embedding the NILM engine on an electronic power meter, which performs a microscopic analysis on measured voltages and currents and provides the load disaggregation using the Conservative Power Theory for the feature extraction, K-Nearest Neighbours for the appliance classification, and the Power Signature Blob for the energy disaggregation. The disaggregation algorithm performance evaluation is carried out using NILMTK. Results show that NILM transcends the regular energy usage calculation, serving as a tool that enables the diagnosis of household appliances using the energy efficiency indexes provided by labels and standards.São Paulo State University (Unesp) Institute of Science and Technology, Avenida Três de Março, 511, Alto da Boa VistaDepartment of Computer Science Federal University of São Carlos, Rodovia João Leme dos Santos, SP-264, Km 110 - ItingaSão Paulo State University (Unesp) Institute of Science and Technology, Avenida Três de Março, 511, Alto da Boa VistaUniversidade Estadual Paulista (UNESP)Universidade Federal de São Carlos (UFSCar)Garcia, Fernando D. [UNESP]Souza, Wesley A.Diniz, Ivando S. [UNESP]Marafão, Fernando P. [UNESP]2022-05-01T05:29:01Z2022-05-01T05:29:01Z2020-12-01info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articlehttp://dx.doi.org/10.1186/s42162-020-00131-7Energy Informatics, v. 3, n. 1, 2020.2520-8942http://hdl.handle.net/11449/23315510.1186/s42162-020-00131-72-s2.0-85107937544Scopusreponame:Repositório Institucional da UNESPinstname:Universidade Estadual Paulista (UNESP)instacron:UNESPengEnergy Informaticsinfo:eu-repo/semantics/openAccess2022-05-01T05:29:01Zoai:repositorio.unesp.br:11449/233155Repositório InstitucionalPUBhttp://repositorio.unesp.br/oai/requestopendoar:29462022-05-01T05:29:01Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)false
dc.title.none.fl_str_mv NILM-based approach for energy efficiency assessment of household appliances
title NILM-based approach for energy efficiency assessment of household appliances
spellingShingle NILM-based approach for energy efficiency assessment of household appliances
Garcia, Fernando D. [UNESP]
Energy efficiency
Energy management
Load disaggregation
Non-intrusive load monitoring
Smart meter
title_short NILM-based approach for energy efficiency assessment of household appliances
title_full NILM-based approach for energy efficiency assessment of household appliances
title_fullStr NILM-based approach for energy efficiency assessment of household appliances
title_full_unstemmed NILM-based approach for energy efficiency assessment of household appliances
title_sort NILM-based approach for energy efficiency assessment of household appliances
author Garcia, Fernando D. [UNESP]
author_facet Garcia, Fernando D. [UNESP]
Souza, Wesley A.
Diniz, Ivando S. [UNESP]
Marafão, Fernando P. [UNESP]
author_role author
author2 Souza, Wesley A.
Diniz, Ivando S. [UNESP]
Marafão, Fernando P. [UNESP]
author2_role author
author
author
dc.contributor.none.fl_str_mv Universidade Estadual Paulista (UNESP)
Universidade Federal de São Carlos (UFSCar)
dc.contributor.author.fl_str_mv Garcia, Fernando D. [UNESP]
Souza, Wesley A.
Diniz, Ivando S. [UNESP]
Marafão, Fernando P. [UNESP]
dc.subject.por.fl_str_mv Energy efficiency
Energy management
Load disaggregation
Non-intrusive load monitoring
Smart meter
topic Energy efficiency
Energy management
Load disaggregation
Non-intrusive load monitoring
Smart meter
description This paper presents a novel Non-Intrusive Load Monitoring (NILM) approach focusing on the Energy Efficiency (EE) assessment of residential appliances. This approach (NILMEE) is able to identify the individual consumption of several household devices, providing proper information for evaluating energy efficiency and pointing out the operational issues or labelling mismatches of appliances, while recommending better practices for energy usage in specific consumer installations. The proposed approach was developed and evaluated by embedding the NILM engine on an electronic power meter, which performs a microscopic analysis on measured voltages and currents and provides the load disaggregation using the Conservative Power Theory for the feature extraction, K-Nearest Neighbours for the appliance classification, and the Power Signature Blob for the energy disaggregation. The disaggregation algorithm performance evaluation is carried out using NILMTK. Results show that NILM transcends the regular energy usage calculation, serving as a tool that enables the diagnosis of household appliances using the energy efficiency indexes provided by labels and standards.
publishDate 2020
dc.date.none.fl_str_mv 2020-12-01
2022-05-01T05:29:01Z
2022-05-01T05:29:01Z
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://dx.doi.org/10.1186/s42162-020-00131-7
Energy Informatics, v. 3, n. 1, 2020.
2520-8942
http://hdl.handle.net/11449/233155
10.1186/s42162-020-00131-7
2-s2.0-85107937544
url http://dx.doi.org/10.1186/s42162-020-00131-7
http://hdl.handle.net/11449/233155
identifier_str_mv Energy Informatics, v. 3, n. 1, 2020.
2520-8942
10.1186/s42162-020-00131-7
2-s2.0-85107937544
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv Energy Informatics
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.source.none.fl_str_mv Scopus
reponame:Repositório Institucional da UNESP
instname:Universidade Estadual Paulista (UNESP)
instacron:UNESP
instname_str Universidade Estadual Paulista (UNESP)
instacron_str UNESP
institution UNESP
reponame_str Repositório Institucional da UNESP
collection Repositório Institucional da UNESP
repository.name.fl_str_mv Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)
repository.mail.fl_str_mv
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