Published August 27, 2021
| Version 0.1.1
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Bayesian Archetypes: Energy signature inference from national data for statistical definition of buildings archetypes.
Authors/Creators
- 1. Univ. Grenoble Alpes, CNRS, Grenoble INP, G2Elab, F-38000 Grenoble, France
- 2. Univ. Savoie Mont-Blanc, CNRS, LOCIE, 73000 Chambéry, France
Description
Energy signature inference from national data for statistical definition of buildings archetypes. This project contains the code and data used for the paper Bayesian inference of dwellings energy signature at national scale: case of the French residential stock. It aims to infer energy signature of dwelling categories from national census and consumption data.
Files
bayesian_archetypes-master.zip
Files
(198.8 MB)
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