Towards an Airtightness Compliance Tool Based on Machine Learning Models for Naturally Ventilated Dwellings

AuthID
 P-00X-XNZ
7
Author(s)
Tipo de Documento
Article
Year published
2023
Publicado
in ENERGY AND BUILDINGS, ISSN: 0378-7788
Volume: 285, Páginas: 112922 (10)
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Scopus®
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Unpaywall®
Google Scholar®
Publication Identifiers
SCOPUS: 2-s2.0-85149953597
Unpaywall: 10.1016/j.enbuild.2023.112922
Wos: WOS:000991864600001
Source Identifiers
ISSN: 0378-7788
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