Multiple strategies for a novel hybrid forecasting algorithm of ozone based on data-driven models

Ground-level ozone is an air pollutant that has adverse impacts on human health and vegetation growth. The accurate prediction of ozone concentrations is essential for developing strategies for ozone mitigation. To obtain a better forecasting model to predict ozone, this study provides a detailed di...

Full description

Saved in:

Bibliographic Details
Published in:	Journal of cleaner production Vol. 326; p. 129451
Main Authors:	Cheng, Yong, Zhu, Qiao, Peng, Yan, Huang, Xiao-Feng, He, Ling-Yan
Format:	Journal Article
Language:	English
Published:	Elsevier Ltd 01.12.2021
Subjects:	air pollutants algorithms data collection Data decomposition human health Hybrid forecasting algorithm Multiple strategies neural networks Ozone prediction regression analysis vegetation wavelet Ozone Hybrid forecasting algorithm Data decomposition Multiple strategies
ISSN:	0959-6526, 1879-1786
Online Access:	Get full text
Tags:	Add Tag No Tags, Be the first to tag this record!

Be the first to leave a comment!