Application of the Double Smoothing and ARIMAX Methods for the Prediction of Polycristalline Photovoltaic Generation

dc.contributor.author	Yahyaoui, I.
dc.contributor.author	Mariñas del Collado, Irene
dc.contributor.author	García Sipols, A. E.
dc.contributor.author	Simón de Blas, C.
dc.contributor.author	Sanche, C. R.
dc.date.accessioned	2023-05-18T08:19:32Z
dc.date.available	2023-05-18T08:19:32Z
dc.date.issued	2022
dc.identifier.isbn	9781665480253
dc.identifier.uri	http://hdl.handle.net/10651/67803
dc.description	Annual Conference of the IEEE Industrial Electronics Society, IECON 2022 (48th. 2022. Brussels, Belgium)
dc.description.sponsorship	The authors acknowledge the support from the University of Rey Juan Carlos, Spain, with the project RESOL M2421 and the Project support by the Agencia Estatal de Investigación (PID2019-108311GB-I00 / AEI / 10.13039/501100011033).
dc.language.iso	eng
dc.relation.ispartof	Iecon Proceedings (Industrial Electronics Conference)
dc.rights	©,
dc.source	Scopus
dc.source.uri	https://www.scopus.com/inward/record.uri?eid=2-s2.0-85143901647&doi=10.1109%2fIECON49645.2022.9968612&partnerID=40&md5=24ef1b48ad42c33378fe2aef21400ce8
dc.title	Application of the Double Smoothing and ARIMAX Methods for the Prediction of Polycristalline Photovoltaic Generation
dc.type	conference output	spa
dc.identifier.doi	10.1109/IECON49645.2022.9968612
dc.relation.projectID	AEI/PID2019-108311GB-I00
dc.relation.publisherversion	http://dx.doi.org/10.1109/IECON49645.2022.9968612

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