Predicting indoor temperature and humidity in a naturally ventilated office room using long short-term memory networks model in a tropical climate
| Autor(en): |
Tran Van Quang
(Department of Architectural Engineering, Kyung Hee University, Yongin-si, Republic of Korea)
Dat Tien Doan (Department of Built Environment Engineering, School of Future Environments, Auckland University of Technology, Auckland, New Zealand) Nguyen Lu Phuong (Faculty of Environment, Ho Chi Minh City University of Natural Resources and Environment, Ho Chi Minh City, Viet Nam) Tongrui Zhang (SIASUN Robot & Automation., Ltd, Shenyang, People’s Republic of China) Ali GhaffarianHoseini (Department of Built Environment Engineering, School of Future Environments, Auckland University of Technology, Auckland, New Zealand) Amirhosein GhaffarianHoseini (Department of Built Environment Engineering, School of Future Environments, Auckland University of Technology, Auckland, New Zealand) |
|---|---|
| Medium: | Fachartikel |
| Sprache(n): | Englisch |
| Veröffentlicht in: | Architectural Engineering and Design Management |
| Seite(n): | 1-21 |
| DOI: | 10.1080/17452007.2024.2449244 |
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Datenseite - Reference-ID
10815806 - Veröffentlicht am:
03.02.2025 - Geändert am:
03.02.2025
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