A Machine Learning approach for personal thermal comfort perception evaluation: experimental campaign under real and virtual scenarios

A Machine Learning approach for personal thermal comfort perception evaluation: experimental campaign under real and virtual scenarios

Personal Thermal Comfort models differ from the steady-state methods because they consider personal user feedback as target value. Today, the availability of integrated “smart” devices following the concept of the Internet of Things and Machine Learning (ML) techniques allows developing frameworks r...

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Bibliographic Details
Main Authors: Salamone Francesco, Bellazzi Alice, Belussi Lorenzo, Damato Gianfranco, Danza Ludovico, Dell’Aquila Federico, Ghellere Matteo, Megale Valentino, Meroni Italo, Vitaletti Walter
Format: Article
Language:English
Published: EDP Sciences 2020-01-01
Series:E3S Web of Conferences
Online Access:https://www.e3s-conferences.org/articles/e3sconf/pdf/2020/57/e3sconf_ati2020_04001.pdf

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https://www.e3s-conferences.org/articles/e3sconf/pdf/2020/57/e3sconf_ati2020_04001.pdf

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