[HTML][HTML] Energy modelling and control of building heating and cooling systems with data-driven and hybrid models—A review

Y Balali, A Chong, A Busch, S O'Keefe - Renewable and Sustainable …, 2023 - Elsevier
Implementing an efficient control strategy for heating, ventilation, and air conditioning
(HVAC) systems can lead to improvements in both energy efficiency and thermal …

Computer vision to advance the sensing and control of built environment towards occupant-centric sustainable development: A critical review

J Wang, L Jiang, H Yu, Z Feng, R Castaño-Rosa… - … and Sustainable Energy …, 2024 - Elsevier
As urban development progresses, the built environment control has faced more critical
challenges in improving energy efficiency, air quality, and environmental comfort. Occupant …

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 …

Building occupancy estimation and detection: A review

Z Chen, C Jiang, L Xie - Energy and Buildings, 2018 - Elsevier
Building occupancy is of great importance for energy efficient control of buildings. A large
number of works have been developed for the estimation and detection of building …

Practical issues in implementing machine-learning models for building energy efficiency: Moving beyond obstacles

Z Wang, J Liu, Y Zhang, H Yuan, R Zhang… - … and Sustainable Energy …, 2021 - Elsevier
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 …

A review of studies applying machine learning models to predict occupancy and window-opening behaviours in smart buildings

X Dai, J Liu, X Zhang - Energy and Buildings, 2020 - Elsevier
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 …

Review on occupancy detection and prediction in building simulation

Y Ding, S Han, Z Tian, J Yao, W Chen, Q Zhang - Building Simulation, 2022 - Springer
Energy simulation results for buildings have significantly deviated from actual consumption
because of the uncertainty and randomness of occupant behavior. Such differences are …

A review of building occupancy measurement systems

K Sun, Q Zhao, J Zou - Energy and Buildings, 2020 - Elsevier
The human dimension information is crucial for efficient building energy saving, health and
productivity, comfort conditions and security management. A great number of studies have …

Device-free occupancy detection and crowd counting in smart buildings with WiFi-enabled IoT

H Zou, Y Zhou, J Yang, CJ Spanos - Energy and Buildings, 2018 - Elsevier
Precise occupancy information is extremely valuable for energy savings and optimization in
the built environment. Building management systems (BMSs) can automatically turn off the …

A novel ensemble ELM for human activity recognition using smartphone sensors

Z Chen, C Jiang, L Xie - IEEE Transactions on Industrial …, 2018 - ieeexplore.ieee.org
Human activity recognition plays a unique role in many important applications, including
ubiquitous computing, health-care services, and smart buildings. Due to the nonintrusive …