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Bayesian Archetypes: Energy signature inference from national data for statistical definition of buildings archetypes.

Authors: Nils, Artiges; Simon, Rouchier; Benoit, Delinchant;

Bayesian Archetypes: Energy signature inference from national data for statistical definition of buildings archetypes.

Abstract

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.

Keywords

Open Data, Bayesian Inference, Uncertainties, Energy Signature, Urban Energy Modeling

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selected citations
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This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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