Comparative study of nonparametric and parametric PV models to forecast AC power output of PV plants

Almeida, Marcelo Pinho; Muñoz Escribano, Mikel; Parra Laita, Íñigo de la; Perpiñán, Óscar; Narvarte Fernández, Luis

Publication:
Comparative study of nonparametric and parametric PV models to forecast AC power output of PV plants

dc.contributor.author	Almeida, Marcelo Pinho
dc.contributor.author	Muñoz Escribano, Mikel
dc.contributor.author	Parra Laita, Íñigo de la
dc.contributor.author	Perpiñán, Óscar
dc.contributor.author	Narvarte Fernández, Luis
dc.contributor.department	Ingeniería Eléctrica y Electrónica	es_ES
dc.contributor.department	Ingeniaritza Elektrikoa eta Elektronikoa	eu
dc.date.accessioned	2018-03-05T12:11:19Z
dc.date.available	2018-03-05T12:11:19Z
dc.date.issued	2015
dc.description	Trabajo presentado a la 31st European Photovoltaic Solar Energy Conference and Exhibition (EU PVSEC). Hamburgo, 2015.	es_ES
dc.description	Incluye póster	es_ES
dc.description.abstract	In this paper, a comparison between two approaches to predict the AC power output of PV systems is carried out in terms of forecast performance. Each approach uses one of the two main types of PV modeling, parametric and nonparametric, and both use as inputs several forecasts of meteorological variables from a Numerical Weather Prediction model. Furthermore, actual AC power measurements of a PV plant are used to train the nonparametric model, to adjust the parameters of the different PV components models used in the parametric approach and to assess the quality of the forecasts. The approaches presented similar behavior, although the nonparametric approach, based on Quantile Regression Forests, showed smaller biased errors due to the machine learning tool used.	en
dc.description.sponsorship	This work has been partially financed by the Seventh Framework Programme of the European Commission with the Project Photovoltaic Cost Reduction, Reliability, Operational Performance, Prediction and Simulation (PVCROPS—Grant Agreement No. 308468).	en
dc.format.mimetype	application/pdf	en
dc.identifier.uri	https://academica-e.unavarra.es/handle/2454/27630
dc.language.iso	eng	en
dc.publisher	EU PVSEC	en
dc.relation.projectID	info:eu-repo/grantAgreement/European Commission/FP7/308468	en
dc.relation.publisherversion	https://doi.org/10.4229/eupvsec20152015-5bv.2.16
dc.rights.accessRights	Acceso abierto / Sarbide irekia	es
dc.rights.accessRights	info:eu-repo/semantics/openAccess	en
dc.subject	PV output power forecast	en
dc.subject	Numerical weather prediction	en
dc.subject	Parametric PV model	en
dc.subject	Nonparametric PV model	en
dc.title	Comparative study of nonparametric and parametric PV models to forecast AC power output of PV plants	en
dc.type	Contribución a congreso / Biltzarrerako ekarpena	es
dc.type	info:eu-repo/semantics/conferenceObject	en
dc.type.version	Versión publicada / Argitaratu den bertsioa	es
dc.type.version	info:eu-repo/semantics/publishedVersion	en
dspace.entity.type	Publication
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