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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
Publisher
Sustainable Building Research Center (Erc) Innovative Durable Building And Infrastructure Research Center
Date
2020/12/31
Volume
11
Issue
4
Pages
222-230
Journal Abbr
International Journal of Sustainable Building Tech
Accessed
13/02/2024, 19:46
ISSN
2093-761X, 2093-7628
Language
ko-KR
Library Catalogue
Call Number
openalex:W3131632464
Extra
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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