Buildings are accountable for nearly 40% of global greenhouse gas emissions. Their overall efficiency is thus a major pillar to optimize energy consumption and mitigate engendered warming. The current work takes part in this dynamic. Indeed, we developed standalone decision-aid tool based on sensitivity analysis, multiobjective optimization, artificial neural networks design new generation ener...

This paper advocates the use of non-purely probabilistic approaches to higher-order uncertainty. One of the major arguments of Bayesian probability proponents is that representing uncertainty is always decision-driven and as a consequence, uncertainty should be represented by probability. Here we argue that representing partial ignorance is not always decision-driven. Other reasoning tasks such...