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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| 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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