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Comparing energy consumption for rail transit routes through Symmetric Vertical Sinusoid Alignments (SVSA), and applying artificial neural networks. A case study of Metro Valencia (Spain)

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Comparing energy consumption for rail transit routes through Symmetric Vertical Sinusoid Alignments (SVSA), and applying artificial neural networks. A case study of Metro Valencia (Spain)

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Pineda-Jaramillo, JD.; Salvador Zuriaga, P.; Insa Franco, R. (2017). Comparing energy consumption for rail transit routes through Symmetric Vertical Sinusoid Alignments (SVSA), and applying artificial neural networks. A case study of Metro Valencia (Spain). DYNA. 84(203):17-23. doi:10.15446/dyna.v84n203.65267

Por favor, use este identificador para citar o enlazar este ítem: http://hdl.handle.net/10251/103238

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Title: Comparing energy consumption for rail transit routes through Symmetric Vertical Sinusoid Alignments (SVSA), and applying artificial neural networks. A case study of Metro Valencia (Spain)
Author:
UPV Unit: Universitat Politècnica de València. Departamento de Ingeniería e Infraestructura de los Transportes - Departament d'Enginyeria i Infraestructura dels Transports
Issued date:
Abstract:
[ES] Este artículo presenta el entrenamiento de una red neuronal artificial usando el consumo energético medido en la red metropolitana de Valencia, España, para estimar el consumo energético de un sistema metro. Después ...[+]


[EN] This paper presents the training of an artificial neural network using consumption data measured in the metropolitan network of Valencia, Spain, to estimate the energy consumption of a metro system. After calibration ...[+]
Subjects: Symmetric Vertical Sinusoid Alignments (SVSA) , Gradient , Energy consumption , Artificial neural networks , Metro system
Copyrigths: Reconocimiento - No comercial - Sin obra derivada (by-nc-nd)
Source:
DYNA. (issn: 0012-7353 )
DOI: 10.15446/dyna.v84n203.65267
Publisher:
Universidad Nacional de Colombia
Publisher version: https://doi.org/10.15446/dyna.v84n203.65267
Type: Artículo

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