Environmental and human data-driven model based on machine learning for prediction of human comfort

• Main Authors: Mao, Fubing, Zhou, Xin, Song, Ying
• Other Authors: School of Computer Science and Engineering
• Format: Article
• Language: English
• Published: 2020
• Subjects: Engineering::Electrical and electronic engineering; Machine Learning; Human Comfort Prediction
• Online Access: https://hdl.handle.net/10356/137879
• Institution: Nanyang Technological University

Occupants' comfort level has a strong correlation with health problems. Providing a comfortable environment for the occupants will bring the benefits of improved health. To achieve this goal, it is necessary to have a reliable human comfort model for predicting the occupants' comfort level...