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 …
[HTML][HTML] Next-generation energy systems for sustainable smart cities: Roles of transfer learning
Smart cities attempt to reach net-zero emissions goals by reducing wasted energy while
improving grid stability and meeting service demand. This is possible by adopting next …
improving grid stability and meeting service demand. This is possible by adopting next …
[HTML][HTML] A hybrid active learning framework for personal thermal comfort models
Personal thermal comfort models are used to predict individual-level thermal comfort
responses to inform design and control decisions of buildings to achieve optimal …
responses to inform design and control decisions of buildings to achieve optimal …
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 …
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 …
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' …
Meta-learning of personalized thermal comfort model and fast identification of the best personalized thermal environmental conditions
The model of personalized thermal comfort can be learned via various machine learning
algorithms and used to improve the individuals' thermal comfort levels with potentially less …
algorithms and used to improve the individuals' thermal comfort levels with potentially less …
Personal thermal comfort models: A deep learning approach for predicting older people's thermal preference
Purpose This paper presents the development of personal thermal comfort models for older
adults and assesses the models' performance compared to aggregate approaches. This is …
adults and assesses the models' performance compared to aggregate approaches. This is …
Comparative feasibility study of physiological signals from wristband-type wearable sensors to assess occupants' thermal comfort
S Moon, SS Kim, B Choi - Energy and Buildings, 2024 - Elsevier
This study compares the feasibility of physiological signals acquired from wearable sensors
to assess building occupants' thermal comfort. Field experiments were conducted to acquire …
to assess building occupants' thermal comfort. Field experiments were conducted to acquire …
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 …