A platform for research: civil engineering, architecture and urbanism
High-performance formaldehyde prediction for indoor air quality assessment using time series deep learning
High-performance formaldehyde prediction for indoor air quality assessment using time series deep learning
High-performance formaldehyde prediction for indoor air quality assessment using time series deep learning
Build. Simul.
Lu, Liu (author) / Huang, Xinyu (author) / Zhou, Xiaojun (author) / Guo, Junfei (author) / Yang, Xiaohu (author) / Yan, Jinyue (author)
Building Simulation ; 17 ; 415-429
2024-03-01
Article (Journal)
Electronic Resource
English
Forecasting air quality time series using deep learning
Taylor & Francis Verlag | 2018
|Assessment of Indoor Air Quality in Academic Buildings Using IoT and Deep Learning
DOAJ | 2022
|A prediction method of indoor formaldehyde concentration using an experimental house
British Library Online Contents | 2002
|A novel deep learning framework with variational auto-encoder for indoor air quality prediction
Springer Verlag | 2024
|