A systematic review of personal thermal comfort models
Personal comfort models have shown to predict specific thermal comfort requirements more
accurately than aggregate models, increasing occupant acceptability and associated energy …
accurately than aggregate models, increasing occupant acceptability and associated energy …
Reinforcement learning for building controls: The opportunities and challenges
Building controls are becoming more important and complicated due to the dynamic and
stochastic energy demand, on-site intermittent energy supply, as well as energy storage …
stochastic energy demand, on-site intermittent energy supply, as well as energy storage …
Hybrid system controls of natural ventilation and HVAC in mixed-mode buildings: A comprehensive review
Mixed-mode buildings utilise a combination of natural ventilation from operable building
envelopes and mechanical systems to realise climate-friendly ventilation and cooling. The …
envelopes and mechanical systems to realise climate-friendly ventilation and cooling. The …
A systematic review of building energy sufficiency towards energy and climate targets
Among the sufficiency, efficiency, and renewable frameworks for reducing energy use and
energy-related carbon emissions, Building Energy Sufficiency (BES) is gaining attention …
energy-related carbon emissions, Building Energy Sufficiency (BES) is gaining attention …
Transfer learning with deep neural networks for model predictive control of HVAC and natural ventilation in smart buildings
Advanced control strategies are central components of smart buildings. For model-based
control algorithms, the quality of the model that represents building systems and dynamics is …
control algorithms, the quality of the model that represents building systems and dynamics is …
A data-driven interval forecasting model for building energy prediction using attention-based LSTM and fuzzy information granulation
Y Li, Z Tong, S Tong, D Westerdahl - Sustainable Cities and Society, 2022 - Elsevier
Quantifying uncertainties in the prediction of building energy consumption is critical to
building energy management systems. In this study, a deep-learning-based interval …
building energy management systems. In this study, a deep-learning-based interval …
Natural ventilation in classrooms for healthy schools in the COVID era in Mediterranean climate
M Gil-Baez, J Lizana, JAB Villanueva… - Building and …, 2021 - Elsevier
Indoor air quality in schools has a direct impact on the performance and wellbeing of
students. In 2020, the health emergency required the reconsideration of ventilation …
students. In 2020, the health emergency required the reconsideration of ventilation …
[HTML][HTML] Optimizing stack ventilation in low and medium-rise residential buildings in hot and semi-humid climate
RR Dezfuli, H Bazazzadeh, M Taban… - Case Studies in Thermal …, 2023 - Elsevier
Nowadays, optimization of methods that can reduce energy consumption is efficient for
various reasons, such as the increasing mean temperature, the changes in climate, and the …
various reasons, such as the increasing mean temperature, the changes in climate, and the …
Real-time monitoring of indoor air quality with internet of things-based E-nose
Today, air pollution is the biggest environmental health problem in the world. Air pollution
leads to adverse effects on human health, climate and ecosystems. Air is contaminated by …
leads to adverse effects on human health, climate and ecosystems. Air is contaminated by …
A comprehensive review of predictive control strategies in heating, ventilation, and air-conditioning (HVAC): Model-free VS model
X Xin, Z Zhang, Y Zhou, Y Liu, D Wang… - Journal of Building …, 2024 - Elsevier
Predictive control offers significant advantages in nonlinear control, high thermal inertia, and
dynamic control. This article uses a Systematic Reviews and Meta-Analyses methodology to …
dynamic control. This article uses a Systematic Reviews and Meta-Analyses methodology to …