NILM-based approach for energy efficiency assessment of household appliances
Autor(a) principal: | |
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Data de Publicação: | 2020 |
Outros Autores: | , , |
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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Repositório Institucional da UNESP |
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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 |
|
_version_ |
1803046938266828800 |