Synthesis of hourly wind power series using the Moving Block Bootstrap method

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dc.contributor.author Usaola García, Julio
dc.date.accessioned 2016-09-05T09:47:34Z
dc.date.available 2016-09-05T09:47:34Z
dc.date.issued 2014
dc.identifier.bibliographicCitation 2014 International Conference on Probabilistic Methods Applied to Power Systems (PMAPS). (7-10 July 2014. Durham, United Kingdom)
dc.identifier.isbn 978-1-4799-3561-1
dc.identifier.uri http://hdl.handle.net/10016/23518
dc.description.abstract PMAPS is the leading forum for engineers and scientists worldwide to share and discuss their research on probabilistic and statistical modelling applied to power systems. Durham has been a centre of culture and learning for over 1000 years, and the University is the third oldest in England. The city is centred on the World Heritage Site, which includes the Norman-era Castle and Cathedral (the Castle is a College of the University and the site of the PMAPS relcome reception.) The Durham Energy Institute is a leading cross-disciplinary research energy research institute, with particularly notable activites in power systems risk analysis and the mathematics of energy systems.
dc.description.sponsorship The Spanish Ministry of Education supported this work through the project IREMEL (Ref ENE2010-16074)
dc.format.extent 7
dc.format.mimetype application/pdf
dc.language.iso eng
dc.publisher Institute of Electrical and Electronics Engineers (IEEE)
dc.rights © 2014. IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
dc.subject.other Reliability
dc.subject.other Moving block bootstrap
dc.subject.other Wind generation
dc.title Synthesis of hourly wind power series using the Moving Block Bootstrap method
dc.type conferenceObject
dc.type bookPart
dc.relation.publisherversion http://dx.doi.org/10.1109/PMAPS.2014.6960602
dc.subject.eciencia Ingeniería Industrial
dc.rights.accessRights openAccess
dc.relation.projectID Gobierno de España. ENE2010-16074
dc.type.version acceptedVersion
dc.relation.eventdate 7-10 July 2014
dc.relation.eventplace Durham, United Kingdom
dc.relation.eventtitle 13th International Conference on Probabilistic Methods Applied to Power Systems (PMAPS 2014)
dc.relation.eventtype proceeding
dc.identifier.publicationtitle Probabilistic Methods Applied to Power Systems (PMAPS), 2014 International Conference on
dc.identifier.uxxi CC/0000021609
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