Assessment of a temperature-based artificial neural network designed for global solar radiation estimation in regions with sparse experimental data

dc.contributor.author	González Plaza, Enrique
dc.contributor.author	García Menéndez, David::7161:600
dc.contributor.author	Prieto García, Jesús Ignacio
dc.date.accessioned	2025-03-31T11:46:23Z
dc.date.available	2025-03-31T11:46:23Z
dc.date.issued	2024
dc.identifier.citation	Sustainability (Switzerland), 16(24), (2024); doi:10.3390/su162411201
dc.identifier.issn	2071-1050
dc.identifier.uri	https://hdl.handle.net/10651/78303
dc.language.iso	eng
dc.relation.ispartof	Sustainability (Switzerland)
dc.rights	©,
dc.source	Scopus
dc.source.uri	https://www.scopus.com/inward/record.uri?eid=2-s2.0-85213260164&doi=10.3390%2fsu162411201&partnerID=40&md5=653a903765df87f6754c1d77d8dda240
dc.title	Assessment of a temperature-based artificial neural network designed for global solar radiation estimation in regions with sparse experimental data
dc.type	journal article
dc.identifier.doi	10.3390/su162411201
dc.relation.publisherversion	http://dx.doi.org/10.3390/su162411201

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