Buildings consume a significant amount of energy throughout their lifecycle; Thus,
sustainable energy management is crucial for all buildings, and controlling energy …

Optimising HVAC operations towards human wellness and energy efficiency is a major
challenge for smart facilities management, especially amid COVID situations. Although IoT …

The rapid expansion of the Internet of Things (IoT) and Machine Learning (ML) has
significantly increased the demand for Location-Based Services (LBS) in today's world …

Personal thermal comfort models are used to predict individual-level thermal comfort
responses to inform design and control decisions of buildings to achieve optimal …

Received signal strength indicator (RSSI)-based fingerprinting is a widely used technique
for indoor localization, but these methods suffer from high error rates due to various …

Whether by habit or necessity, people tend to spend most of their time indoors. Built-up
Carbon dioxide (CO 2) can lead to a series of negative health effects such as nausea …

Buildings substantially impact global energy usage and emit significant carbon dioxide.
Building occupancy is crucial to enabling energy conservation in buildings and achieving …

Building automation and the advancement of sustainability and safety in internal spaces
benefit significantly from occupancy sensing. While particular traditional Machine Learning …

Real-time nonintrusive occupancy estimation can maximize the use of existing sensors to
infer occupant information in buildings with the advantages of fewer privacy concerns and …

Forecasting energy consumption models allow for improvements in building performance
and reduce energy consumption. Energy efficiency has become a pressing concern in …