It is essential to understand how significantly occupants' actions impact the performance of a
building, as a whole, in terms of energy use. Consequently, this paper reviews the available …

Occupant behavior is nowadays acknowledged as a main source of discrepancy between
predicted and actual building performance; therefore, researchers attempt to model …

Occupant behaviour has long been of main interest in the domain of building energy-
savings and indoor air quality and its importance is recognized by its wide coverage in the …

Household electricity consumption can be broken down to appliance end-use through a
variety of methods such as modelling, sub-metering, load disaggregation or non-intrusive …

We propose a novel stochastic agent-based model of occupancy dynamics in a building with
an arbitrary number of zones and occupants. Simulation of the model yields time-series of …

The need to analyze and understand energy consumption in relation to households' activity
patterns is vital for developing policy means that contribute to an energy efficient life and …

Time-use data (TUD) have a large potential for improving occupancy and load modelling
and for introducing realistic behavioural patterns into various simulations. In this article …

The human interaction with the building is a key cause of uncertainty when predicting
energy consumption of buildings. Building occupants affect building energy use directly and …

This paper presents a statistical method for modeling the behavior of household occupants
to estimate residential energy consumption. Using data gathered by the US Census Bureau …

The effect of electricity peak demand reduction by electricity saving measures in the
Japanese residential sector on the power system scale during summer was evaluated …