Nonintrusive power estimation of residential appliances under voltage variation
Nonintrusive Load Monitoring (NILM) systems aim to estimate the individual appliance operation and consumption in a household from measurements at a single point, in order to motivate energy conservation behaviors. Power estimation based on appliance rated powers is not always accurate because of th...
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2016-10
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Jiménez, Yulieth Cortes, Jose D. Duarte, Cesar A. Petit, Johann F. Carrillo, Gilberto 2019-07-23T13:20:27Z 2019-07-23T13:20:27Z 2016-10 Nonintrusive Load Monitoring (NILM) systems aim to estimate the individual appliance operation and consumption in a household from measurements at a single point, in order to motivate energy conservation behaviors. Power estimation based on appliance rated powers is not always accurate because of the voltage supply variations, thus misleading load disaggregation algorithms. In this paper we propose models of power as a function of voltage for correcting the power estimation. Measurements in the laboratory of residential loads are performed under multiple voltage levels. These data are processed to find regression models. Moreover, some analytic expressions to calculate the powers are proposed. Proposed models result more accurate than the rated powers and other models in the scientific literature. application/pdf 10.1109/ICHQP.2016.7783402 2164-0610 https://repositorio.udes.edu.co/handle/001/3445 spa Proceedings of International Conference on Harmonics and Quality of Power, ICHQP Derechos Reservados - Universidad de Santander, 2016 info:eu-repo/semantics/openAccess Atribución-NoComercial 4.0 Internacional (CC BY-NC 4.0) https://creativecommons.org/licenses/by-nc/4.0/ https://ieeexplore.ieee.org/document/7783402/authors Nonintrusive power Voltage variation Nonintrusive power estimation of residential appliances under voltage variation Documento de Conferencia http://purl.org/coar/resource_type/c_c94f Text info:eu-repo/semantics/conferenceObject info:eu-repo/semantics/publishedVersion Publication http://purl.org/coar/access_right/c_abf2 http://purl.org/coar/version/c_970fb48d4fbd8a85 |
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title |
Nonintrusive power estimation of residential appliances under voltage variation |
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Nonintrusive power estimation of residential appliances under voltage variation Jiménez, Yulieth Cortes, Jose D. Duarte, Cesar A. Petit, Johann F. Carrillo, Gilberto Jiménez, Yulieth Cortes, Jose D. Duarte, Cesar A. Petit, Johann F. Carrillo, Gilberto Nonintrusive power Voltage variation |
title_short |
Nonintrusive power estimation of residential appliances under voltage variation |
title_full |
Nonintrusive power estimation of residential appliances under voltage variation |
title_fullStr |
Nonintrusive power estimation of residential appliances under voltage variation |
title_full_unstemmed |
Nonintrusive power estimation of residential appliances under voltage variation |
title_sort |
nonintrusive power estimation of residential appliances under voltage variation |
author |
Jiménez, Yulieth Cortes, Jose D. Duarte, Cesar A. Petit, Johann F. Carrillo, Gilberto Jiménez, Yulieth Cortes, Jose D. Duarte, Cesar A. Petit, Johann F. Carrillo, Gilberto |
author_facet |
Jiménez, Yulieth Cortes, Jose D. Duarte, Cesar A. Petit, Johann F. Carrillo, Gilberto Jiménez, Yulieth Cortes, Jose D. Duarte, Cesar A. Petit, Johann F. Carrillo, Gilberto |
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Repositorio digital |
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Nonintrusive power Voltage variation |
topic_facet |
Nonintrusive power Voltage variation |
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2016-10 |
language |
Español |
format |
Documento de Conferencia |
description |
Nonintrusive Load Monitoring (NILM) systems aim to estimate the individual appliance operation and consumption in a household from measurements at a single point, in order to motivate energy conservation behaviors. Power estimation based on appliance rated powers is not always accurate because of the voltage supply variations, thus misleading load disaggregation algorithms. In this paper we propose models of power as a function of voltage for correcting the power estimation. Measurements in the laboratory of residential loads are performed under multiple voltage levels. These data are processed to find regression models. Moreover, some analytic expressions to calculate the powers are proposed. Proposed models result more accurate than the rated powers and other models in the scientific literature.
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2164-0610 |
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https://repositorio.udes.edu.co/handle/001/3445 |
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https://repositorio.udes.edu.co/handle/001/3445 |
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1763049556679852032 |
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11.257267 |