Please use this identifier to cite or link to this item:

http://hdl.handle.net/10609/102372
Full metadata record
DC FieldValueLanguage
dc.contributor.authorParada Medina, Raúl-
dc.contributor.authorFont Marcé, Jordi-
dc.contributor.authorCasas Roma, Jordi-
dc.contributor.otherUniversitat Oberta de Catalunya. Internet Interdisciplinary Institute (IN3)-
dc.date.accessioned2019-10-30T08:57:50Z-
dc.date.available2019-10-30T08:57:50Z-
dc.date.issued2019-05-14-
dc.identifier.citationParada Medina, R., Font, J. & Casas-Roma, J. (2019). Predicting energy generation using forecasting techniques in Catalan reservoirs. Energies, 12(10), 1-21. doi: 10.3390/en12101832en
dc.identifier.issn1996-1073MIAR
-
dc.identifier.urihttp://hdl.handle.net/10609/102372-
dc.description.abstractReservoirs are natural or artificial lakes used as a source of water supply for society daily applications. In addition, hydroelectric power plants produce electricity while water flows through the reservoir. However, reservoirs are limited natural resources since water levels vary according to annual rainfalls and other natural events, and consequently, the energy generation. Therefore, forecasting techniques are helpful to predict water level, and thus, electricity production. This paper examines state-of-the-art methods to predict the water level in Catalan reservoirs comparing two approaches: using the water level uniquely, uni-variant; and adding meteorological data, multi-variant. With respect to relating works, our contribution includes a longer times series prediction keeping a high precision. The results return that combining Support Vector Machine and the multi-variant approach provides the highest precision with an R2 value of 0.99.en
dc.format.mimetypeapplication/pdf-
dc.language.isoeng-
dc.publisherEnergies-
dc.relation.urihttps://www.mdpi.com/1996-1073/12/10/1832/pdf-
dc.rightscc-by-
dc.rights.urihttp://creativecommons.org/licenses/by/3.0-
dc.subjectForecastingen
dc.subjectReservoiren
dc.subjectSeries analysisen
dc.subject.lcshForecastingen
dc.subject.lcshReservoirsen
dc.titlePredicting energy generation using forecasting techniques in Catalan reservoirs-
dc.typeinfo:eu-repo/semantics/article-
dc.typeinfo:eu-repo/semantics/publishedVersion-
dc.subject.lemacPrevisióca
dc.subject.lemacPantans (Enginyeria civil)ca
dc.subject.lcshesPrevisiónes
dc.subject.lcshesEmbalseses
dc.rights.accessRightsinfo:eu-repo/semantics/openAccess-
dc.identifier.doi10.3390/en12101832-
dc.gir.idAR/0000007169-
Appears in Collections:Articles
Articles

Files in This Item:
File SizeFormat 
energy_catalan_reservoirs.pdf1.14 MBAdobe PDFView/Open

Items in repository are protected by copyright, with all rights reserved, unless otherwise indicated.