Please use this identifier to cite or link to this item: http://hdl.handle.net/2067/30050
DC FieldValueLanguage
dc.contributor.authorBuratti, C.en
dc.contributor.authorBarbanera, Marcoen
dc.contributor.authorPalladino, D.en
dc.date.accessioned2020-10-20T22:44:11Z-
dc.date.available2020-10-20T22:44:11Z-
dc.date.issued2014en
dc.identifier.urihttp://hdl.handle.net/2067/30050-
dc.titleAn original tool for checking energy performance and certification of buildings by means of Artificial Neural Networksen
dc.typearticleen
dc.identifier.doi10.1016/j.apenergy.2014.01.053en
dc.relation.issn3062619en
dc.relation.journalAPPLIED ENERGYen
dc.relation.firstpage125en
dc.relation.lastpage132en
dc.relation.numberofpages8en
dc.relation.conferencenameAPPLIED ENERGYen
dc.relation.volume120en
dc.relation.issue120en
dc.type.miur262en
item.openairetypearticle-
item.openairecristypehttp://purl.org/coar/resource_type/c_18cf-
item.cerifentitytypePublications-
item.grantfulltextnone-
item.fulltextNo Fulltext-
crisitem.journal.journalissn1872-9118-
crisitem.journal.anceE223014-
Appears in Collections:A1. Articolo in rivista
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