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 …
Towards class-balancing human comfort datasets with gans
M Quintana, C Miller - Proceedings of the 6th ACM International …, 2019 - dl.acm.org
Human comfort datasets are widely used in smart buildings. From thermal comfort prediction
to personalized indoor environments, labelled subjective responses from participants in an …
to personalized indoor environments, labelled subjective responses from participants in an …
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 …
Unsupervised personal thermal comfort prediction via adversarial domain adaptation
Personal thermal comfort models aim to predict an individual's thermal comfort response,
instead of the average response of a large group. However, conducting large-scale …
instead of the average response of a large group. However, conducting large-scale …
Addressing data inadequacy challenges in personal comfort models by combining pretrained comfort models
Occupant thermal-comfort complaints are the biggest operational headache of facilities
managers. Many of the complaints can be attributed to the diverse nature of individuals' …
managers. Many of the complaints can be attributed to the diverse nature of individuals' …
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 …
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 …
Review on occupant-centric thermal comfort sensing, predicting, and controlling
Ensuring occupants' thermal comfort and work performance is one of the primary objectives
for building environment conditioning systems. In recent years, there emerged many …
for building environment conditioning systems. In recent years, there emerged many …
Demystifying thermal comfort in smart buildings: An interpretable machine learning approach
Thermal comfort is a key consideration in smart buildings and a number of comfort models
are available nowadays to evaluate the comfort level of occupants. However, the models are …
are available nowadays to evaluate the comfort level of occupants. However, the models are …