Development of a High-Resolution Wind Forecast System Based on the WRF Model and a Hybrid Kalman-Bayesian Filter

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dc.contributor.affiliationUniversidade de Santiago de Compostela. Departamento de Física de Partículasgl
dc.contributor.authorOtero Casal, Carlos
dc.contributor.authorPatlakas, Platon
dc.contributor.authorPrósper Fernández, Miguel Ángel
dc.contributor.authorGalanis, George
dc.contributor.authorMíguez Macho, Gonzalo
dc.date.accessioned2020-11-13T11:51:20Z
dc.date.available2020-11-13T11:51:20Z
dc.date.issued2019
dc.description.peerreviewedSIgl
dc.identifier.citationOtero-Casal, C.; Patlakas, P.; Prósper, M.A.; Galanis, G.; Miguez-Macho, G. Development of a High-Resolution Wind Forecast System Based on the WRF Model and a Hybrid Kalman-Bayesian Filter. Energies 2019, 12, 3050gl
dc.identifier.doi10.3390/en12163050
dc.identifier.essn1996-1073
dc.identifier.urihttp://hdl.handle.net/10347/23701
dc.language.isoenggl
dc.publisherMDPIgl
dc.relation.publisherversionhttps://doi.org/10.3390/en12163050gl
dc.rights© 2019 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/)gl
dc.rightsAtribución 4.0 Internacional
dc.rights.accessRightsopen accessgl
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/
dc.titleDevelopment of a High-Resolution Wind Forecast System Based on the WRF Model and a Hybrid Kalman-Bayesian Filtergl
dc.typejournal articlegl
dc.type.hasVersionVoRgl
dspace.entity.typePublication
relation.isAuthorOfPublication8734f34a-7249-41eb-b534-d08ff7301c54
relation.isAuthorOfPublication.latestForDiscovery8734f34a-7249-41eb-b534-d08ff7301c54

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