Incorporating multi-source uncertainties in fast building wall thermal resistance estimation through physics-based and multi-fidelity statistical learning models - Ifsttar
Article Dans Une Revue Journal of Building Engineering Année : 2024

Incorporating multi-source uncertainties in fast building wall thermal resistance estimation through physics-based and multi-fidelity statistical learning models

Fichier principal
Vignette du fichier
Nasser2024.pdf (3.36 Mo) Télécharger le fichier
Origine Publication financée par une institution
licence
Domaine public

Dates et versions

hal-04818716 , version 1 (04-12-2024)

Licence

Domaine public

Identifiants

Citer

H. Nasser, G. Perrin, R. Chakir, S. Demeyer, Julien Waeytens. Incorporating multi-source uncertainties in fast building wall thermal resistance estimation through physics-based and multi-fidelity statistical learning models. Journal of Building Engineering, 2024, 98, pp.111027. ⟨10.1016/j.jobe.2024.111027⟩. ⟨hal-04818716⟩
0 Consultations
0 Téléchargements

Altmetric

Partager

More