- -

Modelling Electric Trains Energy Consumption Using Neural Networks

RiuNet: Repositorio Institucional de la Universidad Politécnica de Valencia

Compartir/Enviar a

Citas

Estadísticas

  • Estadisticas de Uso

Modelling Electric Trains Energy Consumption Using Neural Networks

Mostrar el registro sencillo del ítem

Ficheros en el ítem

dc.contributor.author Martínez Fernández, Pablo es_ES
dc.contributor.author García-Román, Carla es_ES
dc.contributor.author Insa Franco, Ricardo es_ES
dc.date.accessioned 2018-06-04T04:25:12Z
dc.date.available 2018-06-04T04:25:12Z
dc.date.issued 2016 es_ES
dc.identifier.uri http://hdl.handle.net/10251/103303
dc.description.abstract [EN] Nowadays there is an evident concern regarding the efficiency and sustainability of the transport sector due to both the threat of climate change and the current financial crisis. This concern explains the growth of railways over the last years as they present an inherent efficiency compared to other transport means. However, in order to further expand their role, it is necessary to optimise their energy consumption so as to increase their competitiveness. Improving railways energy efficiency requires both reliable data and modelling tools that will allow the study of different variables and alternatives. With this need in mind, this paper presents the development of consumption models based on neural networks that calculate the energy consumption of electric trains. These networks have been trained based on an extensive set of consumption data measured in line 1 of the Valencia Metro Network. Once trained, the neural networks provide a reliable estimation of the vehicles consumption along a specific route when fed with input data such as train speed, acceleration or track longitudinal slope. These networks represent a useful modelling tool that may allow a deeper study of railway lines in terms of energy expenditure with the objective of reducing the costs and environmental impact associated to railways. es_ES
dc.description.sponsorship The authors wish to thank Ferrocarrils de la Generalitat Valenciana (FGV) for their permission and help during the monitoring campaign. Project funded by the Spanish Ministry of Economy and Competitiveness (Grant Number TRA2011-26602).
dc.language Inglés es_ES
dc.publisher Elsevier es_ES
dc.relation.ispartof Transportation Research Procedia es_ES
dc.rights Reconocimiento - No comercial - Sin obra derivada (by-nc-nd) es_ES
dc.subject Railways es_ES
dc.subject Neural Networks es_ES
dc.subject Energy efficiency es_ES
dc.subject Modelling es_ES
dc.subject Metro. es_ES
dc.subject.classification INGENIERIA E INFRAESTRUCTURA DE LOS TRANSPORTES es_ES
dc.title Modelling Electric Trains Energy Consumption Using Neural Networks es_ES
dc.type Artículo es_ES
dc.type Comunicación en congreso es_ES
dc.identifier.doi 10.1016/j.trpro.2016.12.008 es_ES
dc.relation.projectID info:eu-repo/grantAgreement/MICINN//TRA2011-26602/ES/ESTRATEGIAS PARA EL DISEÑO Y LA EXPLOTACION ENERGETICAMENTE EFICIENTE DE INFRAESTRUCTURAS FERROVIARAS Y TRANVIARIAS/ es_ES
dc.rights.accessRights Abierto es_ES
dc.contributor.affiliation Universitat Politècnica de València. Departamento de Ingeniería e Infraestructura de los Transportes - Departament d'Enginyeria i Infraestructura dels Transports es_ES
dc.contributor.affiliation Universitat Politècnica de València. Instituto del Transporte y Territorio - Institut del Transport i Territori es_ES
dc.description.bibliographicCitation Martínez Fernández, P.; García-Román, C.; Insa Franco, R. (2016). Modelling Electric Trains Energy Consumption Using Neural Networks. Transportation Research Procedia. 18:59-65. https://doi.org/10.1016/j.trpro.2016.12.008 es_ES
dc.description.accrualMethod S es_ES
dc.relation.conferencename XII Congreso de Ingeniería del Transporte (CIT 2016) es_ES
dc.relation.conferencedate June 07-09,2016 es_ES
dc.relation.conferenceplace Valencia, Spain es_ES
dc.relation.publisherversion https://doi.org/10.1016/j.trpro.2016.12.008 es_ES
dc.description.upvformatpinicio 59 es_ES
dc.description.upvformatpfin 65 es_ES
dc.type.version info:eu-repo/semantics/publishedVersion es_ES
dc.description.volume 18 es_ES
dc.identifier.eissn 2352-1465 es_ES
dc.relation.pasarela S\354134 es_ES
dc.contributor.funder Ministerio de Ciencia e Innovación es_ES


Este ítem aparece en la(s) siguiente(s) colección(ones)

Mostrar el registro sencillo del ítem