A LSTM-RNN based intelligent control approach for temperature and humidity environment of urban utility tunnels

A LSTM-RNN based intelligent control approach for temperature and humidity environment of urban utility tunnels

Temperature and relative humidity are important indicators of utility tunnel indoor atmosphere hazards and operational risks, which can be effectively mitigated by accurate forecasting and corrective control measures. To this end, this paper proposed a multi-layer long short-term memory (LSTM) recur...

Full description

Bibliographic Details
Main Authors: Fang-Le Peng, Yong-Kang Qiao, Chao Yang
Format: Article
Language:English
Published: Elsevier 2023-02-01
Series:Heliyon
Subjects:
Urban utility tunnel
Temperature
Relative humidity
Ventilation
LSTM
Online Access:http://www.sciencedirect.com/science/article/pii/S2405844023003894

Internet

http://www.sciencedirect.com/science/article/pii/S2405844023003894

Similar Items