A study on the prediction of thermal comfort for residuals using LSTM deep learning model
Resource type
Journal Article
Authors/contributors
- Ho, Jongnam (Author)
- Cho, Jaeyoun (Author)
- Shin, Hyunkyu (Author)
- Lee, Joosung (Author)
- Kim, Woojae (Author)
- Ahn, Yonghan (Author)
Title
A study on the prediction of thermal comfort for residuals using LSTM deep learning model
Publication
International Journal of Sustainable Building Technology and Urban Development
Volume
11
Issue
4
Pages
222-230
Date
2020/12/31
Journal Abbr
International Journal of Sustainable Building Tech
Language
ko-KR
ISSN
2093-761X, 2093-7628
Accessed
13/02/2024, 19:46
Library Catalogue
Call Number
openalex:W3131632464
Extra
Publisher: Sustainable Building Research Center (Erc) Innovative Durable Building And Infrastructure Research Center
openalex: W3131632464
Citation
Ho, J., Cho, J., Shin, H., Lee, J., Kim, W., & Ahn, Y. (2020). A study on the prediction of thermal comfort for residuals using LSTM deep learning model. International Journal of Sustainable Building Technology and Urban Development, 11(4), 222–230. https://doi.org/10.22712/susb.20200017
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