[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 …
Exploring the benefits and limitations of digital twin technology in building energy
F Tahmasebinia, L Lin, S Wu, Y Kang, S Sepasgozar - Applied Sciences, 2023 - mdpi.com
Buildings consume a significant amount of energy throughout their lifecycle; Thus,
sustainable energy management is crucial for all buildings, and controlling energy …
sustainable energy management is crucial for all buildings, and controlling energy …
Artificial-intelligence-led revolution of construction materials: From molecules to Industry 4.0
Industry 4.0 promotes the transformation of manufacturing industry to intelligence, which
demands advances in materials, devices, and systems of the construction industry …
demands advances in materials, devices, and systems of the construction industry …
Clustering and prediction of space cooling and heating energy consumption in high-rise residential buildings with the influence of occupant behaviour: Evidence from …
J Duan, N Li, J Peng, Q Liu, T Peng, S Wang - Journal of Building …, 2023 - Elsevier
Residential building space cooling and heating energy consumption account for
approximately 15% of the total social energy consumption. Occupant behaviour is the …
approximately 15% of the total social energy consumption. Occupant behaviour is the …
The role of internet of things (IoT) in the assessment and communication of indoor environmental quality (IEQ) in buildings: a review
EE Broday, MC Gameiro da Silva - Smart and Sustainable Built …, 2023 - emerald.com
Purpose The changes brought by Industry 4.0 go beyond transformations in the industrial
environment. The increasingly frequent digitization and robotization of activities is not only …
environment. The increasingly frequent digitization and robotization of activities is not only …
Identifying the optimal heterogeneous ensemble learning model for building energy prediction using the exhaustive search method
Heterogeneous ensemble learning has received increasing attention in building energy
prediction research because it provides more stable and accurate predictions than the …
prediction research because it provides more stable and accurate predictions than the …
Weighted aggregated ensemble model for energy demand management of buildings
N Pachauri, CW Ahn - Energy, 2023 - Elsevier
Accurate building energy consumption prediction is essential for achieving energy savings
and boosting the HVAC system's efficiency of operations. Therefore, in this work, a novel …
and boosting the HVAC system's efficiency of operations. Therefore, in this work, a novel …
A novel machine learning-based model predictive control framework for improving the energy efficiency of air-conditioning systems
The dynamic optimization of key setpoints (eg, supply water temperatures of chillers and
cooling towers, or indoor temperature and humidity) can track the efficient performance point …
cooling towers, or indoor temperature and humidity) can track the efficient performance point …
Prediction of cooling load of tropical buildings with machine learning
Cooling load refers to the amount of energy to be removed from a space (or consumed) to
bring that space to an acceptable temperature or to maintain the temperature of a space at …
bring that space to an acceptable temperature or to maintain the temperature of a space at …
Estimating the energy savings of energy efficiency actions with ensemble machine learning models
Energy efficiency financing is considered among the top priorities in the energy sector
among several stakeholders. In this context, accurately estimating the energy savings …
among several stakeholders. In this context, accurately estimating the energy savings …