L773:1996 3599 OR L773:1996 8744
Sökning: L773:1996 3599 OR L773:1996 8744 > High-performance fo...
- 12 av 21
- Föregående post
- Nästa post
- Till träfflistan
| Fältnamn | Indikatorer | Metadata |
|---|---|---|
| 000 | 03966naa a2200421 4500 | |
| 001 | oai:DiVA.org:mdh-65675 | |
| 003 | SwePub | |
| 008 | 240124s2024 | |||||||||||000 ||eng| | |
| 024 | 7 | a https://urn.kb.se/resolve?urn=urn:nbn:se:mdh:diva-656752 URI |
| 024 | 7 | a https://doi.org/10.1007/s12273-023-1091-42 DOI |
| 040 | a (SwePub)mdh | |
| 041 | a engb eng | |
| 042 | 9 SwePub | |
| 072 | 7 | a ref2 swepub-contenttype |
| 072 | 7 | a art2 swepub-publicationtype |
| 100 | 1 | a Lu, Liuu Xi An Jiao Tong Univ, Sch Human Settlements & Civil Engn, Xian, Peoples R China.4 aut |
| 245 | 1 0 | a High-performance formaldehyde prediction for indoor air quality assessment using time series deep learning |
| 264 | c 2024 | |
| 264 | 1 | b TSINGHUA UNIV PRESS,c 2024 |
| 338 | a print2 rdacarrier | |
| 520 | a Indoor air pollution resulting from volatile organic compounds (VOCs), especially formaldehyde, is a significant health concern needed to predict indoor formaldehyde concentration (Cf) in green intelligent building design. This study develops a thermal and wet coupling calculation model of porous fabric to account for the migration of formaldehyde molecules in indoor air and cotton, silk, and polyester fabric with heat flux in Harbin, Beijing, Xi'an, Shanghai, Guangzhou, and Kunming, China. The time-by-time indoor dry-bulb temperature (T), relative humidity (RH), and Cf, obtained from verified simulations, were collated and used as input data for the long short-term memory (LSTM) of the deep learning model that predicts indoor multivariate time series Cf from the secondary source effects of indoor fabrics (adsorption and release of formaldehyde). The trained LSTM model can be used to predict multivariate time series Cf at other emission times and locations. The LSTM-based model also predicted Cf with mean absolute percentage error (MAPE), symmetric mean absolute percentage error (SMAPE), mean absolute error (MAE), mean square error (MSE), and root mean square error (RMSE) that fell within 10%, 10%, 0.5, 0.5, and 0.8, respectively. In addition, the characteristics of the input dataset, model parameters, the prediction accuracy of different indoor fabrics, and the uncertainty of the data set are analyzed. The results show that the prediction accuracy of single data set input is higher than that of temperature and humidity input, and the prediction accuracy of LSTM is better than recurrent neural network (RNN). The method's feasibility was established, and the study provides theoretical support for guiding indoor air pollution control measures and ensuring human health and safety. | |
| 650 | 7 | a NATURVETENSKAPx Annan naturvetenskap0 (SwePub)1072 hsv//swe |
| 650 | 7 | a NATURAL SCIENCESx Other Natural Sciences0 (SwePub)1072 hsv//eng |
| 653 | a multivariate time series | |
| 653 | a formaldehyde concentration | |
| 653 | a deep learning | |
| 653 | a heat-humidity coupling | |
| 653 | a mass transfer | |
| 653 | a secondary source effect | |
| 700 | 1 | a Huang, Xinyuu Xi An Jiao Tong Univ, Sch Human Settlements & Civil Engn, Xian, Peoples R China.4 aut |
| 700 | 1 | a Zhou, Xiaojunu Xi An Jiao Tong Univ, Sch Human Settlements & Civil Engn, Xian, Peoples R China.4 aut |
| 700 | 1 | a Guo, Junfeiu Xi An Jiao Tong Univ, Sch Human Settlements & Civil Engn, Xian, Peoples R China.4 aut |
| 700 | 1 | a Yang, Xiaohuu Xi An Jiao Tong Univ, Sch Human Settlements & Civil Engn, Xian, Peoples R China.4 aut |
| 700 | 1 | a Yan, Jinyue,d 1959-u Mälardalens universitet,Framtidens energi,Hong Kong Polytech Univ, Dept Bldg Environm & Energy Engn, Kowloon, Hong Kong, Peoples R China.4 aut0 (Swepub:mdh)jyn01 |
| 710 | 2 | a Xi An Jiao Tong Univ, Sch Human Settlements & Civil Engn, Xian, Peoples R China.b Framtidens energi4 org |
| 773 | 0 | t Building Simulationd : TSINGHUA UNIV PRESSx 1996-3599x 1996-8744 |
| 856 | 4 8 | u https://urn.kb.se/resolve?urn=urn:nbn:se:mdh:diva-65675 |
| 856 | 4 8 | u https://doi.org/10.1007/s12273-023-1091-4 |
- 12 av 21
- Föregående post
- Nästa post
- Till träfflistan
Hitta mer i SwePub
- Av författaren/redakt...
- Lu, Liu
- Huang, Xinyu
- Zhou, Xiaojun
- Guo, Junfei
- Yang, Xiaohu
- Yan, Jinyue, 195 ...
- Om ämnet
-
- NATURVETENSKAP
- NATURVETENSKAP
- och Annan naturveten ...
- Artiklar i publikationen
- Building Simulat ...
- Av lärosätet
- Mälardalens universitet
Sök utanför SwePub
- Sök vidare i:
- Google Book Search
- Google Scholar
Kungliga biblioteket hanterar dina personuppgifter i enlighet med EU:s dataskyddsförordning (2018), GDPR. Läs mer om hur det funkar här.
Så här hanterar KB dina uppgifter vid användning av denna tjänst.
- Copyright © LIBRIS - Nationella bibliotekssystem
- LIBRIS.kb.se
