Residential and commercial buildings consume almost 27% of the total energy in the United
States. Therefore, accurate occupancy detection is necessary and valuable to increase the …

Occupancy information in a building is critical in terms of indoor environmental quality,
energy consumption and building energy simulation. However, it is not easy to gather and …

Zone-level occupancy tracking is a critical technology for smart buildings and can be used
for applications such as building energy management, surveillance, and security. Existing …

Occupancy detection can greatly facilitate HVAC and lightning control for building energy
saving. Sensor based occupancy detection is usually costly and may suffer from high false …

We propose a novel machine learning based method for estimating the number of people
present in a room (eg, in a shared office space) based on WiFi signal-to-noise ratio and …

Occupancy information enables robust and flexible control of heating, ventilation, and air-
conditioning (HVAC) systems in buildings. In large spaces, multiple HVAC terminals are …

In intelligent buildings, practical sensing systems designed to gather indoor occupancy
information play an indispensable role in improving occupant comfort and energy efficiency …

Abstract The Heating, Ventilation and Air-Conditioning (HVAC) systems in public buildings
typically operate on fixed schedules without considering changes in actual indoor …

This paper proposes a statistical learning approach for estimating occupancy in smart
buildings using a set of small and simple nonintrusive sensors that can be viewed as …

Buildings are rapidly becoming more digitized, largely due to developments in the internet of
things (IoT). This provides both opportunities and challenges. One of the central challenges …