[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 …
[HTML][HTML] Deep and transfer learning for building occupancy detection: A review and comparative analysis
The building internet of things (BIoT) is quite a promising concept for curtailing energy
consumption, reducing costs, and promoting building transformation. Besides, integrating …
consumption, reducing costs, and promoting building transformation. Besides, integrating …
Occupancy prediction using deep learning approaches across multiple space types: A minimum sensing strategy
The proliferation of sensing technologies has allowed the collection of occupancy-related
data to support various building applications, including adaptive HVAC and lighting controls …
data to support various building applications, including adaptive HVAC and lighting controls …
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 systematic review towards integrative energy management of smart grids and urban energy systems
This paper presents a systematic review to align current and future research in smart grids
(SG) and smart urban energy systems (SUES) and unify the diverse but fragmented …
(SG) and smart urban energy systems (SUES) and unify the diverse but fragmented …
[HTML][HTML] A critical review of occupant energy consumption behavior in buildings: How we got here, where we are, and where we are headed
X Xu, H Yu, Q Sun, VWY Tam - Renewable and Sustainable Energy …, 2023 - Elsevier
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 energy consumption. The complexity of its formation mechanism and the dynamic …
Human-in-the-loop HVAC operations: A quantitative review on occupancy, comfort, and energy-efficiency dimensions
W Jung, F Jazizadeh - Applied Energy, 2019 - Elsevier
Heating, ventilation, and air-conditioning (HVAC) systems account for almost half of the
energy consumption in buildings. By benefiting from advancements in information and …
energy consumption in buildings. By benefiting from advancements in information and …
Practical issues in implementing machine-learning models for building energy efficiency: Moving beyond obstacles
Implementing machine-learning models in real applications is crucial to achieving intelligent
building control and high energy efficiency. Over the past few decades, numerous studies …
building control and high energy efficiency. Over the past few decades, numerous studies …
A review of studies applying machine learning models to predict occupancy and window-opening behaviours in smart buildings
This study carries out a literature review on studies using machine learning (ML) models to
predict occupancy and window-opening behaviour and their application in smart buildings …
predict occupancy and window-opening behaviour and their application in smart buildings …
A scalable Bluetooth Low Energy approach to identify occupancy patterns and profiles in office spaces
Building occupants are often assumed to follow deterministic schedules in building
performance simulation programs. Therefore, to accurately capture the dynamic nature of …
performance simulation programs. Therefore, to accurately capture the dynamic nature of …