Recursive Bayesian Calibration of Data-Driven Archetype Building Energy Models for Residential Sector: Application to a Research House: Fid-Bau Portal

Recursive Bayesian Calibration of Data-Driven Archetype Building Energy Models for Residential Sector: Application to a Research House

Abtahi, Seved Matin / Athienitis, Andreas K. / Delcroix, Benoit

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Recursive Bayesian Calibration of Data-Driven Archetype Building Energy Models for Residential Sector: Application to a Research House

Abtahi, Seved Matin / Athienitis, Andreas K. / Delcroix, Benoit

Recursive Bayesian Calibration of Data-Driven Archetype Building Energy Models for Residential Sector: Application to a Research House

Abtahi, Seved Matin / Athienitis, Andreas K. / Delcroix, Benoit

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Titel:

Recursive Bayesian Calibration of Data-Driven Archetype Building Energy Models for Residential Sector: Application to a Research House

Beteiligte:

Abtahi, Seved Matin (Autor:in) / Athienitis, Andreas K. (Autor:in) / Delcroix, Benoit (Autor:in)

Kongress:

International High Performance Buildings Conference ; 7. ; 2022 ; West Lafayette, Ind.; Online

Erschienen in:

7th International High Performance Buildings Conference at Purdue 2022

Erscheinungsdatum:

2022

ISBN:

9781713859307

Medientyp:

Aufsatz (Konferenz)

Format:

Sprache:

Englisch

Klassifikation:

BKL: 56.50 Technischer Ausbau / 56.65 Bauökologie, Baubiologie

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