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Occupancy-based HVAC control systems in buildings: A state-of-the-art review
Intelligent buildings have drawn considerable attention due to rapid progress in
communication and information technologies. These buildings can utilize current and …
communication and information technologies. These buildings can utilize current and …
Introducing IEA EBC annex 79: Key challenges and opportunities in the field of occupant-centric building design and operation
Despite the fact that buildings are designed for occupants in principle, evidence suggests
buildings are often uncomfortable compared to the requirements of standards; difficult to …
buildings are often uncomfortable compared to the requirements of standards; difficult to …
A review of the digital twin technology in the AEC‐FM industry
The Architecture, Engineering, Construction, and Facility Management (AEC‐FM) industry is
increasingly affected by digital technologies that monitor sensor network data and control …
increasingly affected by digital technologies that monitor sensor network data and control …
Building occupancy forecasting: A systematical and critical review
Indoor environment construction for occupants has high energy consumption; as such,
occupancy plays a noteworthy role in the complete life cycle phase of buildings, including …
occupancy plays a noteworthy role in the complete life cycle phase of buildings, including …
Towards self-learning control of HVAC systems with the consideration of dynamic occupancy patterns: Application of model-free deep reinforcement learning
This study proposes a self-learning control system that aims to learn occupancy profiles,
building energy consumption patterns, and lag-time of the heating, ventilation, and air …
building energy consumption patterns, and lag-time of the heating, ventilation, and air …
Impact of occupancy prediction models on building HVAC control system performance: Application of machine learning techniques
This paper analyzes the impact of using different types of occupancy prediction models on
the performance of occupancy-based heating, ventilation, and air conditioning (HVAC) …
the performance of occupancy-based heating, ventilation, and air conditioning (HVAC) …
Transfer learning for occupancy-based HVAC control: A data-driven approach using unsupervised learning of occupancy profiles and deep reinforcement learning
Abstract Model-free heating, ventilation, and air conditioning (HVAC) control systems have
demonstrated promising potential for adjusting indoor setpoint temperature based on …
demonstrated promising potential for adjusting indoor setpoint temperature based on …
Impact of predictor variables on the performance of future occupancy prediction: Feature selection using genetic algorithms and machine learning
This study analyzes the impact of employing different features on the performance of future
occupancy prediction models. The aim is to identify the most effective predictor variables for …
occupancy prediction models. The aim is to identify the most effective predictor variables for …
Occuspace: Towards a robust occupancy prediction system for activity based workplace
Workplace occupancy detection is becoming increasingly important in large Activity Based
Work (ABW) environments as it helps building and office management understand the …
Work (ABW) environments as it helps building and office management understand the …
Designing learned CO2 ‐based occupancy estimation in smart buildings
Many applications, such as smart buildings, crowd flow, action recognition, and assisted
living, rely on occupancy information. Although the use of smart cameras and computer …
living, rely on occupancy information. Although the use of smart cameras and computer …