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dc.creatorMuñoz Escribano, Mikeles_ES
dc.creatorParra Laita, Íñigo de laes_ES
dc.creatorGarcía Solano, Migueles_ES
dc.creatorMarcos Álvarez, Javieres_ES
dc.date.accessioned2022-05-09T10:23:00Z
dc.date.available2022-05-09T10:23:00Z
dc.date.issued2015
dc.identifier.urihttps://hdl.handle.net/2454/42879
dc.descriptionPóster presentado a la 31st European Photovoltaic Solar Energy Conference and Exhibition. Hamburgo (Alemania), 2015.es_ES
dc.description.abstractNowadays, accurate AC power output forecast of PV plants can play a significant role for both the system operators and PV plant owners. The first group has to program the dispatch of the electric system and the second one needs to plan their energy commercialization schedule up front. Therefore, after analyzing the existing commercial services of PV production forecast, it has been identified the potential to improve the models used to calculate the AC power output from irradiance and ambient temperature forecasts. Then, in this paper, a parametric model is proposed in order to improve the forecast performance. This model provides the AC power at the output of the PV plan using as input variables predicted ambient temperature and predicted global horizontal irradiance, both obtained from open sources. It has been evaluated and validated using historical production data of a fixed generator (2,24kWp) and a large PV power plant (45MWp) and historical forecast data from the open source Meteogalicia In addition, a toolbox to implement this parametric methodology has been built upon the Matlab environment. The toolbox has been developed to provide the PV plant production one day in advance.en
dc.description.sponsorshipThis work has been partially financed by the Seventh Framework Programme of the European Commission with the project PVCROPS (Photovoltaic Cost Reduction, Reliability, Operational Performance, Prediction and Simulation – Grant Agreement no: 308468) and by the Spanish Ministry of Economy and Competitiveness under Grant DPI2013-42853-R.en
dc.format.mimetypeapplication/pdfen
dc.language.isoengen
dc.subjectModellingen
dc.subjectPV poweren
dc.subjectForecasten
dc.titlePV power forecasting using a parametric modelen
dc.typeinfo:eu-repo/semantics/conferenceObjecten
dc.typeContribución a congreso / Biltzarrerako ekarpenaes
dc.contributor.departmentInstitute of Smart Cities - ISCes_ES
dc.contributor.departmentIngeniería Eléctrica y Electrónicaes_ES
dc.contributor.departmentIngeniaritza Elektrikoa eta Elektronikoaeu
dc.rights.accessRightsinfo:eu-repo/semantics/openAccessen
dc.rights.accessRightsAcceso abierto / Sarbide irekiaes
dc.relation.projectIDinfo:eu-repo/grantAgreement/MINECO//DPI2013-42853-R/ES/en


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