Heterogeneous transfer learning for thermal comfort modeling
For decades, the Predicted Mean Vote (PMV) model has been adopted to evaluate building
occupants' thermal comfort. However, recent studies argue that the PMV model is inaccurate …
occupants' thermal comfort. However, recent studies argue that the PMV model is inaccurate …
A hybrid deep transfer learning strategy for thermal comfort prediction in buildings
Since the thermal condition of living spaces affects the occupants' productivity and their
quality of life, it is important to design effective heating, ventilation and air conditioning …
quality of life, it is important to design effective heating, ventilation and air conditioning …
Data-efficient Comfort Modeling: Active Transfer Learning for Predicting Personal Thermal Comfort using Limited Data
Personal comfort models are used to predict thermal comfort responses at the individual
level rather than predicting the average thermal comfort responses for large populations …
level rather than predicting the average thermal comfort responses for large populations …
Transfer learning for thermal comfort prediction in multiple cities
Abstract The HVAC (Heating, Ventilation and Air Conditioning) system is an important part of
a building, which constitutes up to 40% of building energy usage. The main purpose of …
a building, which constitutes up to 40% of building energy usage. The main purpose of …
Multi-task learning for concurrent prediction of thermal comfort, sensation and preference in winters
Indoor thermal comfort immensely impacts the health and performance of occupants.
Therefore, researchers and engineers have proposed numerous computational models to …
Therefore, researchers and engineers have proposed numerous computational models to …
Transfer learning in the transformer model for thermal comfort prediction: a case of limited data
X Zhang, P Li - Energies, 2023 - mdpi.com
The HVAC (Heating, Ventilation, and Air Conditioning) system is an important component of
a building's energy consumption, and its primary function is to provide a comfortable thermal …
a building's energy consumption, and its primary function is to provide a comfortable thermal …
Building matters: Spatial variability in machine learning based thermal comfort prediction in winters
Thermal comfort in indoor environments has an enormous impact on the health, well-being,
and performance of occupants. Given the focus on energy efficiency and Internet of Things …
and performance of occupants. Given the focus on energy efficiency and Internet of Things …
Time series-based deep learning model for personal thermal comfort prediction
A Chennapragada, D Periyakoil, HP Das… - Proceedings of the …, 2022 - dl.acm.org
Personal thermal comfort models are crucial for the future of human-in-the-loop HVAC
control in energy-efficient buildings. Individual comfort models, compared to average …
control in energy-efficient buildings. Individual comfort models, compared to average …
Balancing thermal comfort datasets: We GAN, but should we?
Thermal comfort assessment for the built environment has become more available to
analysts and researchers due to the proliferation of sensors and subjective feedback …
analysts and researchers due to the proliferation of sensors and subjective feedback …
Data-driven thermal comfort prediction with support vector machine
B Peng, SJ Hsieh - … Manufacturing Science and …, 2017 - asmedigitalcollection.asme.org
Personal thermal comfort is a crucial yet often over-simplified factor in building climate
control. Traditional comfort models lack the adaptability to fit individuals' demand. Recent …
control. Traditional comfort models lack the adaptability to fit individuals' demand. Recent …