Advanced controls on energy reliability, flexibility, resilience, and occupant-centric control for smart and energy-efficient buildings—a state-of-the-art review
Advanced controls have attracted increasing interests due to the high requirement on smart
and energy-efficient (SEE) buildings and decarbonization in the building industry with …
and energy-efficient (SEE) buildings and decarbonization in the building industry with …
A systematic review of personal thermal comfort models
Personal comfort models have shown to predict specific thermal comfort requirements more
accurately than aggregate models, increasing occupant acceptability and associated energy …
accurately than aggregate models, increasing occupant acceptability and associated energy …
[HTML][HTML] A review on occupancy prediction through machine learning for enhancing energy efficiency, air quality and thermal comfort in the built environment
The occupants' presence, activities, and behaviour can significantly impact the building's
performance and energy efficiency. Currently, heating, ventilation, and air-conditioning …
performance and energy efficiency. Currently, heating, ventilation, and air-conditioning …
Application of machine learning in thermal comfort studies: A review of methods, performance and challenges
This paper provides a systematic review on the application of Machine Learning (ML) in
thermal comfort studies to highlight the latest methods and findings and provide an agenda …
thermal comfort studies to highlight the latest methods and findings and provide an agenda …
State of the art review on the HVAC occupant-centric control in different commercial buildings
Heating ventilation and air conditioning (HVAC) systems control that takes occupant
information into account is called HVAC occupant-centric control (OCC), which strikes better …
information into account is called HVAC occupant-centric control (OCC), which strikes better …
A practical deep reinforcement learning framework for multivariate occupant-centric control in buildings
Reinforcement learning (RL) has been shown to have the potential for optimal control of
heating, ventilation, and air conditioning (HVAC) systems. Although research on RL-based …
heating, ventilation, and air conditioning (HVAC) systems. Although research on RL-based …
Computer vision to advance the sensing and control of built environment towards occupant-centric sustainable development: A critical review
As urban development progresses, the built environment control has faced more critical
challenges in improving energy efficiency, air quality, and environmental comfort. Occupant …
challenges in improving energy efficiency, air quality, and environmental comfort. Occupant …
[HTML][HTML] State-of-the-art review of occupant behavior modeling and implementation in building performance simulation
Occupant Behavior (OB) is one of the major drivers of building energy consumption.
However, OB is usually oversimplified in Building Performance Simulation (BPS), resulting …
However, OB is usually oversimplified in Building Performance Simulation (BPS), resulting …
A novel occupant-centric stratum ventilation system using computer vision: Occupant detection, thermal comfort, air quality, and energy savings
Traditional ventilation and air conditioning systems typically operate on a predetermined
schedule with fixed operating parameters. Occupant-centric control (OCC) strategies have …
schedule with fixed operating parameters. Occupant-centric control (OCC) strategies have …
Opportunities and challenges of using thermal comfort models for building design and operation for the elderly: A literature review
In a progressively ageing society, providing thermally comfortable environments for the
elderly has received attention from academics and practitioners. Thermal comfort models lay …
elderly has received attention from academics and practitioners. Thermal comfort models lay …