Several research studies have ranked indoor pollution among the top environmental risks to
public health in recent years. Good indoor air quality is an essential component of a healthy …

The surge of machine learning and increasing data accessibility in buildings provide great
opportunities for applying machine learning to building energy system modeling and …

The occupants' presence, activities, and behaviour can significantly impact the building's
performance and energy efficiency. Currently, heating, ventilation, and air-conditioning …

Building energy prediction plays a vital role in developing a model predictive controller for
consumers and optimizing energy distribution plan for utilities. Common approaches for …

Ever growing population and progressive municipal business demands for constructing new
buildings are known as the foremost contributor to greenhouse gasses. Therefore …

Technology alone will not achieve building energy conservation goals, and humans and
their energy-related behavior in buildings must be included in energy performance efforts …

The building sector is considered as the biggest single contributor to world energy
consumption and greenhouse gas emissions. Therefore, a good understanding of the nature …

Occupant behavior has been widely considered as one of the key influencing factors on
building energy consumption. The complexity of its formation mechanism and the dynamic …

Building occupants are continuously exposed to multiple indoor environmental stimuli,
including thermal, visual, acoustic, and air quality related factors. Moreover, personal and …

Buildings consume energy for different purposes. One core function is to provide healthy
and comfortable living conditions for the humans that inhabit these buildings. The …