This research adds to the body of evidence that a successful modeling of household energy use
can provide valuable information for defining policies. The results of this thesis clearly
demonstrate the complex and interdisciplinary nature of energy end-use modeling in the building
sector, proving correlations with urban density, building age, but also showing the great influence
of socio-economic characteristics as in level of income and fraction of elderly. But it also
becomes evident that such variables cannot solely explain variations of energy end-use.
Additional physical and socio-economic factors, which were not included, seem to play a
substantial contributing role.