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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 …
State-of-the-art on research and applications of machine learning in the building life cycle
Fueled by big data, powerful and affordable computing resources, and advanced algorithms,
machine learning has been explored and applied to buildings research for the past decades …
machine learning has been explored and applied to buildings research for the past decades …
A critical review of field implementations of occupant-centric building controls
Recent developments in information and communication technology have sparked the
notion of smart buildings; an example of which is occupant-centric control (OCC). In this …
notion of smart buildings; an example of which is occupant-centric control (OCC). In this …
Data-driven personal thermal comfort prediction: A literature review
Personal thermal comfort prediction modeling has become a trending topic in efforts to
improve individual indoor comfort, a notion that is closely related to the design and …
improve individual indoor comfort, a notion that is closely related to the design and …
Review on occupant-centric thermal comfort sensing, predicting, and controlling
J ** associated codes, standards, and …
Personal comfort models based on a 6‐month experiment using environmental parameters and data from wearables
Personal thermal comfort models are a paradigm shift in predicting how building occupants
perceive their thermal environment. Previous work has critical limitations related to the …
perceive their thermal environment. Previous work has critical limitations related to the …
A comparative study of predicting individual thermal sensation and satisfaction using wrist-worn temperature sensor, thermal camera and ambient temperature sensor
Recent advancements in Internet of Things and Machine Learning have opened the
possibility of deploying sensors at a large scale to monitor the environment and to model …
possibility of deploying sensors at a large scale to monitor the environment and to model …