Modeling the energy consumption of trains by applying neural networks

[EN] This paper presents the training of a neural network using consumption data measured in the underground network of Valencia (Spain), with the objective of estimating the energy consumption of the systems. After the calibration and validation of the neural network using part of the gathered cons...

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Detalles Bibliográficos
Autores: Pineda-Jaramillo, Juan Diego|||0000-0002-4657-7521, Insa Franco, Ricardo|||0000-0002-6655-4458, Martínez Fernández, Pablo|||0000-0002-8246-2510
Tipo de recurso: artículo
Fecha de publicación:2018
País:España
Institución:Universitat Politècnica de València (UPV)
Repositorio:RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
Idioma:inglés
OAI Identifier:oai:riunet.upv.es:10251/132461
Acceso en línea:https://riunet.upv.es/handle/10251/132461
Access Level:acceso abierto
Palabra clave:Gradient
Energy consumption
Artificial neural networks
Metro, Railway
Track layout
INGENIERIA E INFRAESTRUCTURA DE LOS TRANSPORTES
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network_acronym_str ES
network_name_str España
repository_id_str
spelling Modeling the energy consumption of trains by applying neural networksPineda-Jaramillo, Juan Diego|||0000-0002-4657-7521Insa Franco, Ricardo|||0000-0002-6655-4458Martínez Fernández, Pablo|||0000-0002-8246-2510GradientEnergy consumptionArtificial neural networksMetro, RailwayTrack layoutINGENIERIA E INFRAESTRUCTURA DE LOS TRANSPORTES[EN] This paper presents the training of a neural network using consumption data measured in the underground network of Valencia (Spain), with the objective of estimating the energy consumption of the systems. After the calibration and validation of the neural network using part of the gathered consumption data, the results obtained show that the neural network is capable of predicting power consumption with high accuracy. Once fully trained, the network can be used to study the energy consumption of a metro system and for testing the hypothetical operation scenarios.The realization of this paper was possible thanks to the collaboration agreement signed between the Universitat Politecnica de Valencia and Ferrocarrils de la Generalitat Valenciana, and funding obtained by the Spanish Ministry of Economy and Competitiveness, through the project "Strategies for the design and energy-efficient operation of railway and tramway infrastructure'' (Ref. TRA2011-26602).SAGE PublicationsDepartamento de Ingeniería e Infraestructura de los TransportesInstituto del Transporte y TerritorioEscuela Técnica Superior de Ingeniería de Caminos, Canales y PuertosMinisterio de Ciencia e InnovaciónRepositorio Institucional de la Universitat Politècnica de València Riunet20182018-01-01journal articlehttp://purl.org/coar/resource_type/c_6501VoRhttp://purl.org/coar/version/c_970fb48d4fbd8a85info:eu-repo/semantics/articleapplication/pdfapplication/pdfhttps://riunet.upv.es/handle/10251/132461reponame:RiuNet. Repositorio Institucional de la Universitat Politécnica de Valénciainstname:Universitat Politècnica de València (UPV)InglésengMinisterio de Ciencia e Innovación http://dx.doi.org/10.13039/501100004837 TRA2011-26602 ESTRATEGIAS PARA EL DISEÑO Y LA EXPLOTACION ENERGETICAMENTE EFICIENTE DE INFRAESTRUCTURAS FERROVIARAS Y TRANVIARIASopen accesshttp://purl.org/coar/access_right/c_abf2Reserva de todos los derechoshttp://rightsstatements.org/vocab/InC/1.0/info:eu-repo/semantics/openAccessoai:riunet.upv.es:10251/1324612026-06-13T07:49:27Z
dc.title.none.fl_str_mv Modeling the energy consumption of trains by applying neural networks
title Modeling the energy consumption of trains by applying neural networks
spellingShingle Modeling the energy consumption of trains by applying neural networks
Pineda-Jaramillo, Juan Diego|||0000-0002-4657-7521
Gradient
Energy consumption
Artificial neural networks
Metro, Railway
Track layout
INGENIERIA E INFRAESTRUCTURA DE LOS TRANSPORTES
title_short Modeling the energy consumption of trains by applying neural networks
title_full Modeling the energy consumption of trains by applying neural networks
title_fullStr Modeling the energy consumption of trains by applying neural networks
title_full_unstemmed Modeling the energy consumption of trains by applying neural networks
title_sort Modeling the energy consumption of trains by applying neural networks
dc.creator.none.fl_str_mv Pineda-Jaramillo, Juan Diego|||0000-0002-4657-7521
Insa Franco, Ricardo|||0000-0002-6655-4458
Martínez Fernández, Pablo|||0000-0002-8246-2510
author Pineda-Jaramillo, Juan Diego|||0000-0002-4657-7521
author_facet Pineda-Jaramillo, Juan Diego|||0000-0002-4657-7521
Insa Franco, Ricardo|||0000-0002-6655-4458
Martínez Fernández, Pablo|||0000-0002-8246-2510
author_role author
author2 Insa Franco, Ricardo|||0000-0002-6655-4458
Martínez Fernández, Pablo|||0000-0002-8246-2510
author2_role author
author
dc.contributor.none.fl_str_mv Departamento de Ingeniería e Infraestructura de los Transportes
Instituto del Transporte y Territorio
Escuela Técnica Superior de Ingeniería de Caminos, Canales y Puertos
Ministerio de Ciencia e Innovación
Repositorio Institucional de la Universitat Politècnica de València Riunet
dc.subject.none.fl_str_mv Gradient
Energy consumption
Artificial neural networks
Metro, Railway
Track layout
INGENIERIA E INFRAESTRUCTURA DE LOS TRANSPORTES
topic Gradient
Energy consumption
Artificial neural networks
Metro, Railway
Track layout
INGENIERIA E INFRAESTRUCTURA DE LOS TRANSPORTES
description [EN] This paper presents the training of a neural network using consumption data measured in the underground network of Valencia (Spain), with the objective of estimating the energy consumption of the systems. After the calibration and validation of the neural network using part of the gathered consumption data, the results obtained show that the neural network is capable of predicting power consumption with high accuracy. Once fully trained, the network can be used to study the energy consumption of a metro system and for testing the hypothetical operation scenarios.
publishDate 2018
dc.date.none.fl_str_mv 2018
2018-01-01
dc.type.none.fl_str_mv journal article
http://purl.org/coar/resource_type/c_6501
VoR
http://purl.org/coar/version/c_970fb48d4fbd8a85
dc.type.openaire.fl_str_mv info:eu-repo/semantics/article
format article
dc.identifier.none.fl_str_mv https://riunet.upv.es/handle/10251/132461
url https://riunet.upv.es/handle/10251/132461
dc.language.none.fl_str_mv Inglés
eng
language_invalid_str_mv Inglés
language eng
dc.relation.none.fl_str_mv Ministerio de Ciencia e Innovación http://dx.doi.org/10.13039/501100004837 TRA2011-26602 ESTRATEGIAS PARA EL DISEÑO Y LA EXPLOTACION ENERGETICAMENTE EFICIENTE DE INFRAESTRUCTURAS FERROVIARAS Y TRANVIARIAS
dc.rights.none.fl_str_mv open access
http://purl.org/coar/access_right/c_abf2
Reserva de todos los derechos
http://rightsstatements.org/vocab/InC/1.0/
dc.rights.openaire.fl_str_mv info:eu-repo/semantics/openAccess
rights_invalid_str_mv open access
http://purl.org/coar/access_right/c_abf2
Reserva de todos los derechos
http://rightsstatements.org/vocab/InC/1.0/
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
application/pdf
dc.publisher.none.fl_str_mv SAGE Publications
publisher.none.fl_str_mv SAGE Publications
dc.source.none.fl_str_mv reponame:RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
instname:Universitat Politècnica de València (UPV)
instname_str Universitat Politècnica de València (UPV)
reponame_str RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
collection RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
repository.name.fl_str_mv
repository.mail.fl_str_mv
_version_ 1869403714684452864
score 15.301603

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