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dc.contributorGrifoll Colls, Manel
dc.contributor.authorPáez Álvarez, Roberto
dc.contributor.otherUniversitat Politècnica de Catalunya. Departament d'Enginyeria Civil i Ambiental
dc.coverage.spatialeast=23.62467300000003; north=37.9351377; name=El Pireu 185 38, Grècia
dc.date.accessioned2019-03-14T11:00:09Z
dc.date.available2019-03-14T11:00:09Z
dc.date.issued2018-09-28
dc.identifier.urihttp://hdl.handle.net/2117/130428
dc.description.abstractIn the recent years, forecasting or predictions of port freight have received an increasing attention in ports management and logistics. Two differentiate analytical approaches are used to predict port traffic: causal methods and time-series methods. This work is focussed in to investigate and apply forecasting techniques, based on time-series for Piraeus Port (Greece).
dc.language.isoeng
dc.publisherUniversitat Politècnica de Catalunya
dc.subjectÀrees temàtiques de la UPC::Enginyeria civil::Enginyeria hidràulica, marítima i sanitària::Ports i costes
dc.subject.lcshHarbors
dc.subject.otherPort
dc.subject.otherForecast
dc.subject.otherTime series
dc.subject.otherMonte Carlo
dc.subject.otherMarkov
dc.subject.otherMatlab
dc.subject.otherResources
dc.subject.otherOptimization
dc.subject.otherPrediction
dc.titleTraffic port forecasting systems: time-series method applied to Piraeus Port (Greece)
dc.typeMaster thesis
dc.subject.lemacPorts
dc.identifier.slugPRISMA-133776
dc.rights.accessOpen Access
dc.date.updated2018-10-24T18:00:47Z
dc.audience.educationlevelMàster
dc.audience.mediatorEscola Tècnica Superior d'Enginyers de Camins, Canals i Ports de Barcelona


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