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New forecasting methods for hotel revenue management systems

dc.contributor.authorPereira, Luis
dc.contributor.authorda Silva, Joana Marques
dc.contributor.authorSerra, Francisco
dc.date.accessioned2022-08-31T13:18:25Z
dc.date.available2022-08-31T13:18:25Z
dc.date.issued2015
dc.date.updated2022-08-31T09:33:46Z
dc.description.abstractAn accurate forecasting module is a key element of any revenue management system. This module includes demand forecasting, which involves tasks of forecasting complex seasonal time series. The challenge of producing accurate demand forecasts requires the application of suitable forecasting methods to address that complexity. The aim of this paper is to evaluate a new innovation state space modeling framework, based on innovations approach, developed for forecasting time series with complex seasonal patterns. This modeling framework provides an alternative to existing models of exponential smoothing, since it is capable of tackling seasonal complexities such a multiple seasonal periods and high frequency seasonality.pt_PT
dc.description.versioninfo:eu-repo/semantics/publishedVersionpt_PT
dc.identifier.eid2-s2.0-84947593986
dc.identifier.slugcv-prod-595887
dc.identifier.urihttp://hdl.handle.net/10400.1/18201
dc.language.isoengpt_PT
dc.peerreviewedyespt_PT
dc.publisherIBIMApt_PT
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/pt_PT
dc.subjectHotel demandpt_PT
dc.subjectForecastingpt_PT
dc.subjectDouble seasonal Holt-Winters modelpt_PT
dc.subjectRevenue managementpt_PT
dc.titleNew forecasting methods for hotel revenue management systemspt_PT
dc.typeconference object
dspace.entity.typePublication
oaire.citation.endPage197pt_PT
oaire.citation.startPage189pt_PT
oaire.citation.titleInnovation Vision 2020: From Regional Development Sustainability to Global Economic Growth: Proceedings of the 25th International Business Information Management Association Conferencept_PT
person.familyNameNobre Pereira
person.familyNameSerra
person.givenNameLuis
person.givenNameFrancisco
person.identifier0000000428330706
person.identifier.ciencia-id6114-E329-972E
person.identifier.ciencia-id4D1C-9D66-8D99
person.identifier.orcid0000-0003-0917-7163
person.identifier.orcid0000-0002-8461-5162
person.identifier.scopus-author-id56290841200
rcaap.cv.cienciaid6114-E329-972E | Luis Nobre Pereira
rcaap.rightsopenAccesspt_PT
rcaap.typeconferenceObjectpt_PT
relation.isAuthorOfPublication090a6604-b604-414b-a8d2-c4dc731b7b51
relation.isAuthorOfPublication22775c38-a6c8-4162-9ac0-c1941fbf693c
relation.isAuthorOfPublication.latestForDiscovery090a6604-b604-414b-a8d2-c4dc731b7b51

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