Prediction of PM_2.5 Concentration Based on Deep Learning for High-Dimensional Time Series

PM_2.5 poses a serious threat to human life and health, so the accurate prediction of PM_2.5 concentration is essential for controlling air pollution. However, previous studies lacked the generalization ability to predict high-dimensional PM<sub>2.5&...

Full description

Bibliographic Details

Published in:	Applied Sciences
Main Authors:	Jie Hu, Yuan Jia, Zhen-Hong Jia, Cong-Bing He, Fei Shi, Xiao-Hui Huang
Format:	Article
Language:	English
Published:	MDPI AG 2024-09-01
Subjects:	fine particulate matter temporal convolutional network PM<sub>2.5</sub> prediction deep learning high-dimensional time series
Online Access:	https://www.mdpi.com/2076-3417/14/19/8745