A novel strategy that combines separate probabilistic models developed by other
researchers into a unified model for generating schedules of active occupancy, domestic hot …

In Switzerland and most other developed countries, the building sector is one of the most
important sources of energy consumption and its related adverse environmental impacts. As …

Water heating contributes up to 40% of a household's total electricity usage and places a
substantial burden on the electricity grid due to high power ratings and users' largely …

Hourly consumption data of domestic hot water (DHW) is essential to compute the energy
demand, and for system sizing. Few on-site measured data and simulation based studies …

Stochastic building occupancy models are increasingly used to underpin building energy
demand models, especially those providing high-resolution electricity demand profiles. This …

A long-term field study recording domestic hot water (DHW) consumption in households was
used to tune a load profile generator. The methodology used in this load profile generator is …

Résumé en Anglais: The building sector is considered as a major energy consumer and
pollution source among all economic sectors. It accounts for important shares, ranging …

This article describes a new methodology to calculate the likely utility load profiles (energy
such as power, natural gas, space heating and cooling, and other thermal requirements, as …

A data set of myriad and time-varying inhabitant-behavior schedules with a 15min time
resolution, generated by the authors in a previous study, is validated through a comparison …

Aims: The prediction of water consumption patterns is a challenge, especially when water
metering is not available at scale. The use of time-of-use survey (TUS) data offers an …