Steady state signatures in the time domain for nonintrusive appliance identification

Smart Grid paradigm promotes advanced load monitoring applications to support demand side management and energy savings. Recently, considerable attention has been paid to Non-Intrusive Load Monitoring to estimate the individual operation and power consumption of the residential appliances, from sing...

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Autores:
Jimenez, Yulieth
Duarte, Cesar
Petit, Johann
Meyer, Jan
Schegner, Peter
Carrillo, Gilberto
Tipo de recurso:
Article of journal
Fecha de publicación:
2015
Institución:
Universidad Nacional de Colombia
Repositorio:
Universidad Nacional de Colombia
Idioma:
spa
OAI Identifier:
oai:repositorio.unal.edu.co:unal/67659
Acceso en línea:
https://repositorio.unal.edu.co/handle/unal/67659
http://bdigital.unal.edu.co/68688/
Palabra clave:
62 Ingeniería y operaciones afines / Engineering
Nonintrusive load monitoring
load signatures
appliance identification
demand side management.
Monitorización no intrusiva de carga
firmas de carga
identificación de aparatos
gestión de la demanda.
Rights
openAccess
License
Atribución-NoComercial 4.0 Internacional
id UNACIONAL2_81ddb97d26baa97d20ea75ab583a7aad
oai_identifier_str oai:repositorio.unal.edu.co:unal/67659
network_acronym_str UNACIONAL2
network_name_str Universidad Nacional de Colombia
repository_id_str
dc.title.spa.fl_str_mv Steady state signatures in the time domain for nonintrusive appliance identification
title Steady state signatures in the time domain for nonintrusive appliance identification
spellingShingle Steady state signatures in the time domain for nonintrusive appliance identification
62 Ingeniería y operaciones afines / Engineering
Nonintrusive load monitoring
load signatures
appliance identification
demand side management.
Monitorización no intrusiva de carga
firmas de carga
identificación de aparatos
gestión de la demanda.
title_short Steady state signatures in the time domain for nonintrusive appliance identification
title_full Steady state signatures in the time domain for nonintrusive appliance identification
title_fullStr Steady state signatures in the time domain for nonintrusive appliance identification
title_full_unstemmed Steady state signatures in the time domain for nonintrusive appliance identification
title_sort Steady state signatures in the time domain for nonintrusive appliance identification
dc.creator.fl_str_mv Jimenez, Yulieth
Duarte, Cesar
Petit, Johann
Meyer, Jan
Schegner, Peter
Carrillo, Gilberto
dc.contributor.author.spa.fl_str_mv Jimenez, Yulieth
Duarte, Cesar
Petit, Johann
Meyer, Jan
Schegner, Peter
Carrillo, Gilberto
dc.subject.ddc.spa.fl_str_mv 62 Ingeniería y operaciones afines / Engineering
topic 62 Ingeniería y operaciones afines / Engineering
Nonintrusive load monitoring
load signatures
appliance identification
demand side management.
Monitorización no intrusiva de carga
firmas de carga
identificación de aparatos
gestión de la demanda.
dc.subject.proposal.spa.fl_str_mv Nonintrusive load monitoring
load signatures
appliance identification
demand side management.
Monitorización no intrusiva de carga
firmas de carga
identificación de aparatos
gestión de la demanda.
description Smart Grid paradigm promotes advanced load monitoring applications to support demand side management and energy savings. Recently, considerable attention has been paid to Non-Intrusive Load Monitoring to estimate the individual operation and power consumption of the residential appliances, from single point electrical measurements. This approach takes advantage of signal processing in order to reduce the hardware effort associated to systems with multiple dedicated sensors. Discriminative characteristics of the appliances, namely load signatures, could be extracted from the transient or steady state electrical signals. In this paper the effect of impact factors that can affect the steady state load signatures under realistic conditions are investigated: the voltage supply distortion, the network impedance and the sampling frequency of the metering equipment. For this purpose, electrical measurements of several residential appliances were acquired and processed to obtain some indices in the time domain. Results include the comparison ofdistinct scenarios, and the evaluation of the suitability and discrimination capacity of the steady state information.
publishDate 2015
dc.date.issued.spa.fl_str_mv 2015-06-01
dc.date.accessioned.spa.fl_str_mv 2019-07-03T04:47:29Z
dc.date.available.spa.fl_str_mv 2019-07-03T04:47:29Z
dc.type.spa.fl_str_mv Artículo de revista
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dc.identifier.issn.spa.fl_str_mv ISSN: 2248-8723
dc.identifier.uri.none.fl_str_mv https://repositorio.unal.edu.co/handle/unal/67659
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identifier_str_mv ISSN: 2248-8723
url https://repositorio.unal.edu.co/handle/unal/67659
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dc.language.iso.spa.fl_str_mv spa
language spa
dc.relation.spa.fl_str_mv https://revistas.unal.edu.co/index.php/ingeinv/article/view/53619
dc.relation.ispartof.spa.fl_str_mv Universidad Nacional de Colombia Revistas electrónicas UN Ingeniería e Investigación
Ingeniería e Investigación
dc.relation.references.spa.fl_str_mv Jimenez, Yulieth and Duarte, Cesar and Petit, Johann and Meyer, Jan and Schegner, Peter and Carrillo, Gilberto (2015) Steady state signatures in the time domain for nonintrusive appliance identification. Ingeniería e Investigación, 35 (1Sup). pp. 58-64. ISSN 2248-8723
dc.rights.spa.fl_str_mv Derechos reservados - Universidad Nacional de Colombia
dc.rights.coar.fl_str_mv http://purl.org/coar/access_right/c_abf2
dc.rights.license.spa.fl_str_mv Atribución-NoComercial 4.0 Internacional
dc.rights.uri.spa.fl_str_mv http://creativecommons.org/licenses/by-nc/4.0/
dc.rights.accessrights.spa.fl_str_mv info:eu-repo/semantics/openAccess
rights_invalid_str_mv Atribución-NoComercial 4.0 Internacional
Derechos reservados - Universidad Nacional de Colombia
http://creativecommons.org/licenses/by-nc/4.0/
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eu_rights_str_mv openAccess
dc.format.mimetype.spa.fl_str_mv application/pdf
dc.publisher.spa.fl_str_mv Universidad Nacional de Colombia - Sede Bogotá - Facultad de Ingeniería
institution Universidad Nacional de Colombia
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spelling Atribución-NoComercial 4.0 InternacionalDerechos reservados - Universidad Nacional de Colombiahttp://creativecommons.org/licenses/by-nc/4.0/info:eu-repo/semantics/openAccesshttp://purl.org/coar/access_right/c_abf2Jimenez, Yulieth2e731b6c-1597-46f8-baac-a7d9c4991e26300Duarte, Cesarf820006d-e276-4a2c-b99b-3a2f4244304f300Petit, Johannb01cf784-8682-4737-a0bd-bff7bb737256300Meyer, Jan3e5b75a1-a490-46df-831d-f7131361f215300Schegner, Peter23f61963-dc9d-4a55-a148-5b99fc097d0c300Carrillo, Gilberto2068af65-2cc0-4363-bcf4-a8ab584fb4c53002019-07-03T04:47:29Z2019-07-03T04:47:29Z2015-06-01ISSN: 2248-8723https://repositorio.unal.edu.co/handle/unal/67659http://bdigital.unal.edu.co/68688/Smart Grid paradigm promotes advanced load monitoring applications to support demand side management and energy savings. Recently, considerable attention has been paid to Non-Intrusive Load Monitoring to estimate the individual operation and power consumption of the residential appliances, from single point electrical measurements. This approach takes advantage of signal processing in order to reduce the hardware effort associated to systems with multiple dedicated sensors. Discriminative characteristics of the appliances, namely load signatures, could be extracted from the transient or steady state electrical signals. In this paper the effect of impact factors that can affect the steady state load signatures under realistic conditions are investigated: the voltage supply distortion, the network impedance and the sampling frequency of the metering equipment. For this purpose, electrical measurements of several residential appliances were acquired and processed to obtain some indices in the time domain. Results include the comparison ofdistinct scenarios, and the evaluation of the suitability and discrimination capacity of the steady state information.El paradigma de las redes inteligentes promueve aplicaciones de monitorización avanzada de carga para apoyar la gestión de la demanda y los ahorros energéticos. La monitorización no intrusiva de carga ha generado un creciente interés para estimar la operación y el consumo individual de potencia de los aparatos residenciales, a partir de mediciones eléctricas en un solo punto. Este enfoque aprovecha las ventajas del procesamiento de señales para reducir los esfuerzos de hardware asociados a los sistemas con múltiples sensores dedicados. Algunas características distintivas de los aparatos, llamadas firmas de carga, pueden ser extraídas de señales en estado transitorio o estable. En este artículo se investiga el efecto de algunos factores que pueden afectar las firmas estacionarias de carga bajo condiciones reales: distorsión en la tensión de suministro,  impedancia de la red y frecuencia de muestreo del equipo de medida. Para tal fin, se adquirieron y procesaron mediciones eléctricas de diferentes aparatos residenciales para obtener algunos índices en el dominio del tiempo. Los resultados incluyen comparaciones entre distintos escenarios y evaluación de la idoneidad y la capacidad de discriminación de la información del estado estable.application/pdfspaUniversidad Nacional de Colombia - Sede Bogotá - Facultad de Ingenieríahttps://revistas.unal.edu.co/index.php/ingeinv/article/view/53619Universidad Nacional de Colombia Revistas electrónicas UN Ingeniería e InvestigaciónIngeniería e InvestigaciónJimenez, Yulieth and Duarte, Cesar and Petit, Johann and Meyer, Jan and Schegner, Peter and Carrillo, Gilberto (2015) Steady state signatures in the time domain for nonintrusive appliance identification. Ingeniería e Investigación, 35 (1Sup). pp. 58-64. ISSN 2248-872362 Ingeniería y operaciones afines / EngineeringNonintrusive load monitoringload signaturesappliance identificationdemand side management.Monitorización no intrusiva de cargafirmas de cargaidentificación de aparatosgestión de la demanda.Steady state signatures in the time domain for nonintrusive appliance identificationArtículo de revistainfo:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501http://purl.org/coar/resource_type/c_2df8fbb1http://purl.org/coar/version/c_970fb48d4fbd8a85Texthttp://purl.org/redcol/resource_type/ARTORIGINAL53619-266796-3-PB.pdfapplication/pdf751366https://repositorio.unal.edu.co/bitstream/unal/67659/1/53619-266796-3-PB.pdfc9c85666b586e942e4db951b354f1768MD51THUMBNAIL53619-266796-3-PB.pdf.jpg53619-266796-3-PB.pdf.jpgGenerated Thumbnailimage/jpeg8902https://repositorio.unal.edu.co/bitstream/unal/67659/2/53619-266796-3-PB.pdf.jpgdc67e369edc61268cd5d9294ae539aeeMD52unal/67659oai:repositorio.unal.edu.co:unal/676592023-05-31 23:03:02.041Repositorio Institucional Universidad Nacional de Colombiarepositorio_nal@unal.edu.co