The Personalized Thermal Comfort Prediction Using an MH-LSTM Neural Network Method

As demand for indoor thermal comfort increases, occupants’ subjective thermal sensation is becoming an important indicator of the building environment. Traditional models like the predicted mean vote-based model may not be reliable for individual comfort. This study proposed the multihead long short...

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Bibliographic Details
Main Authors: Jaeyoun Cho, Hyunkyu Shin, Yonghan Ahn, Jongnam Ho
Format: Article
Language:English
Published: Wiley 2024-01-01
Series:Advances in Civil Engineering
Online Access:http://dx.doi.org/10.1155/2024/2106137
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