Please use this identifier to cite or link to this item: http://repositorio.inesctec.pt/handle/123456789/2395
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dc.contributor.authorCarlos Ferreiraen
dc.contributor.authorAudun Botteruden
dc.contributor.authorJoão Gamaen
dc.contributor.authorVladimiro Mirandaen
dc.date.accessioned2017-11-16T13:36:45Z-
dc.date.available2017-11-16T13:36:45Z-
dc.date.issued2012en
dc.identifier.urihttp://repositorio.inesctec.pt/handle/123456789/2395-
dc.identifier.urihttp://dx.doi.org/10.1007/978-81-322-0987-4_3en
dc.description.abstractThis paper presents a new approach to the critical problem of detecting or forecasting ramping events in the context of wind power prediction. The novelty of the model relies on departing from the probability density function estimated for the wind power and building a probabilistic representation of encountering, at each time step, a ramp event according to some definition. The model allows the assignment of a probability value to each possible magnitude of a predicted ramp and its worth is assessed by several metrics including ROC curves.en
dc.languageengen
dc.relation208en
dc.relation208en
dc.relation208en
dc.relation208en
dc.relation5120en
dc.relation5120en
dc.relation5120en
dc.relation5120en
dc.relation5340en
dc.relation5340en
dc.relation5340en
dc.relation5340en
dc.rightsinfo:eu-repo/semantics/openAccessen
dc.titleProbabilistic ramp detection and forecasting for wind power predictionen
dc.typeconferenceObjecten
dc.typePublicationen
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