[HTML][HTML] Energy modelling and control of building heating and cooling systems with data-driven and hybrid models—A review
Implementing an efficient control strategy for heating, ventilation, and air conditioning
(HVAC) systems can lead to improvements in both energy efficiency and thermal …
(HVAC) systems can lead to improvements in both energy efficiency and thermal …
Building automation systems for energy and comfort management in green buildings: A critical review and future directions
Green building (GB) strategies are essential for mitigating energy wastage in the building
sector, which accounts for nearly 40% of global energy consumption. However, due to the …
sector, which accounts for nearly 40% of global energy consumption. However, due to the …
DeST 3.0: A new-generation building performance simulation platform
Buildings contribute to almost 30% of total energy consumption worldwide. Developing
building energy modeling programs is of great significance for lifecycle building …
building energy modeling programs is of great significance for lifecycle building …
[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 …
Federated learning-based short-term building energy consumption prediction method for solving the data silos problem
Transfer learning is an effective method to predict the energy consumption of information-
poor buildings by learning transferable knowledge from operational data of information-rich …
poor buildings by learning transferable knowledge from operational data of information-rich …
From occupants to occupants: A review of the occupant information understanding for building HVAC occupant-centric control
Occupants are the core of the built environment. Traditional heating, ventilation, and air-
conditioning (HVAC) systems operate with predefined schedules and maximum occupancy …
conditioning (HVAC) systems operate with predefined schedules and maximum occupancy …
[HTML][HTML] A hybrid agent-based machine learning method for human-centred energy consumption prediction
Q Qiao, A Yunusa-Kaltungo - Energy and Buildings, 2023 - Elsevier
Occupant behaviour has significant impacts on the performance of machine learning
algorithms when predicting building energy consumption. Due to a variety of reasons (eg …
algorithms when predicting building energy consumption. Due to a variety of reasons (eg …
PANDEMIC: Occupancy driven predictive ventilation control to minimize energy consumption and infection risk
Abstract During the SARS-CoV-2 (COVID-19) pandemic, governments around the world
have formulated policies requiring ventilation systems to operate at a higher outdoor fresh …
have formulated policies requiring ventilation systems to operate at a higher outdoor fresh …
[HTML][HTML] A comprehensive review of the applications of machine learning for HVAC
Heating, ventilation and air-conditioning (HVAC) accounts for around 40% of the total
building energy consumption. It has therefore become a major target for reductions, in terms …
building energy consumption. It has therefore become a major target for reductions, in terms …
Automatic classification of rural building characteristics using deep learning methods on oblique photography
Rural building is important to the well-being of rural residents, leading to a significant need
to carry out extensive surveys and retrofits of many rural buildings. On-site surveys by expert …
to carry out extensive surveys and retrofits of many rural buildings. On-site surveys by expert …