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A Scalable Probabilistic Meta-Model Framework for Accelerating Monte Carlo-Based Thermal Performance Analysis of Small-To-Medium-Sized Commercial Buildings in Six European Regions Under Climate Uncertainty

AuthID
P-01B-MWH

Author(s)

Tajuddeen, I

Johra, H

Rodrigues, E

Grygierek, K

Tipo de Documento

Article

Year published

2026

Publicado

in JOURNAL OF BUILDING ENGINEERING, ISSN: 2352-7102

Volume: 123, Páginas: 115881 (28)

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Publication Identifiers

DOI: 10.1016/j.jobe.2026.115881

SCOPUS: 2-s2.0-105033224633

Wos: WOS:001722904900001

Source Identifiers

ISSN: 2352-7102

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A Scalable Probabilistic Meta-Model Framework for Accelerating Monte Carlo-Based Thermal Performance Analysis of Small-To-Medium-Sized Commercial Buildings in Six European Regions Under Climate Uncertainty

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A Scalable Probabilistic Meta-Model Framework for Accelerating Monte Carlo-Based Thermal Performance Analysis of Small-To-Medium-Sized Commercial Buildings in Six European Regions Under Climate Uncertainty

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