The use of artificial intelligence (AI) methods in the prediction of thermal comfort in buildings: Energy implications of AI-based thermal comfort controls
Buildings consume about 40% of globally-produced energy. A notable amount of this energy
is used to provide sufficient comfort levels to the building occupants. Moreover, given recent …
is used to provide sufficient comfort levels to the building occupants. Moreover, given recent …
A review of thermal comfort models and indicators for indoor environments
D Enescu - Renewable and Sustainable Energy Reviews, 2017 - Elsevier
This paper reviews the most used thermal comfort models and indicators with their variants,
discussing their usage in control problems referring to energy management in indoor …
discussing their usage in control problems referring to energy management in indoor …
[HTML][HTML] Artificial intelligence enabled energy-efficient heating, ventilation and air conditioning system: Design, analysis and necessary hardware upgrades
D Lee, ST Lee - Applied Thermal Engineering, 2023 - Elsevier
Literature search across different databases showed that the application of artificial
intelligence (AI) in heating, ventilation and air conditioning (HVAC) equipment has been …
intelligence (AI) in heating, ventilation and air conditioning (HVAC) equipment has been …
Artificial neural networks to predict energy performance and retrofit scenarios for any member of a building category: A novel approach
How to predict building energy performance with low computational times and good
reliability? The study answers this question by employing artificial neural networks (ANNs) to …
reliability? The study answers this question by employing artificial neural networks (ANNs) to …
Application and characterization of metamodels based on artificial neural networks for building performance simulation: A systematic review
In most of the countries, buildings are often one of the major energy consumers, leading to
the necessity of achieving sustainable building designs, and to the mandatory use of …
the necessity of achieving sustainable building designs, and to the mandatory use of …
Estimating building energy consumption using extreme learning machine method
The current energy requirements of buildings comprise a large percentage of the total
energy consumed around the world. The demand of energy, as well as the construction …
energy consumed around the world. The demand of energy, as well as the construction …
Using machine learning algorithms to predict occupants' thermal comfort in naturally ventilated residential buildings
Q Chai, H Wang, Y Zhai, L Yang - Energy and Buildings, 2020 - Elsevier
Thermal comfort evaluations in the built environment are essential to occupant's satisfaction
and also building energy consumption. Traditionally, thermal comfort has been assessed by …
and also building energy consumption. Traditionally, thermal comfort has been assessed by …
A prediction model based on neural networks for the energy consumption of a bioclimatic building
Energy in buildings is a topic that is being widely studied due to its high impact on global
energy demand. This problem involves the performance of an adequate management of the …
energy demand. This problem involves the performance of an adequate management of the …
Data-driven thermal comfort model via support vector machine algorithms: Insights from ASHRAE RP-884 database
Many models can predict building occupants' thermal comfort, but their accuracies were not
always perfect due to the limited self-learning and self-correction capability when varying the …
always perfect due to the limited self-learning and self-correction capability when varying the …
LSTM-based indoor air temperature prediction framework for HVAC systems in smart buildings
Accurate indoor air temperature (IAT) predictions for heating, ventilation, and air
conditioning (HVAC) systems are challenging, especially for multi-zone building and for …
conditioning (HVAC) systems are challenging, especially for multi-zone building and for …