This paper provides a comparative study of state-of-the-art means of predicting occupancy
for smart heating control applications. We focus on approaches that predict the occupancy …

Modern buildings are being integrated with myriad (often> 1000s) networked sensors to
improve convenience, occupant comfort accessibility and energy-efficient operations. These …

Detecting the occupancy in households is becoming increasingly important for enabling
context-aware applications in smart homes. For example, smart heating systems, which aim …

Estimation of building occupancy has emerged as an important research problem with
applications ranging from building energy efficiency, control and automation, safety …

Research results on smart heating systems based on occupancy prediction are often difficult
to reproduce and to compare. Evaluating the performance of these systems through …

Recent advances in computing have allowed for the possibility to collect large amounts of
data on personal activities and private living spaces. Collecting and publishing a dataset in …

Sensing accurately the number of occupants in the rooms of a building enables many
important applications for smart building operation and energy management. A range of …

Recent advances in computing have allowed for the possibility to collect large amounts of
data on personal activities and private living spaces. To address the privacy concerns of …

Every day, billions of people across the world use a wide array of online services and tools
to perform their daily tasks. While this has brought an unprecedented level of comfort to the …

A large fraction of energy consumed in households is due to space heating. Especially
during daytime, the heating is often running constantly, controlled only by a thermostat–even …