A New Model Using Multiple Feature Clustering and Neural Networks for Forecasting Hourly PM2.5 Concentrations, and Its Applications in China

A New Model Using Multiple Feature Clustering and Neural Networks for Forecasting Hourly PM2.5 Concentrations, and Its Applications in China

Particulate matter with an aerodynamic diameter no greater than 2.5 μm (PM2.5) concentration forecasting is desirable for air pollution early warning. This study proposes an improved hybrid model, named multi-feature clustering decomposition (MCD)–echo state network (ESN)–particle swarm optimization...

Full description

Bibliographic Details
Main Authors: Hui Liu, Zhihao Long, Zhu Duan, Huipeng Shi
Format: Article
Language:English
Published: Elsevier 2020-08-01
Series:Engineering
Subjects:
PM2.5 concentrations forecasting
PM2.5 concentrations clustering
Empirical wavelet transform
Multi-step forecasting
Online Access:http://www.sciencedirect.com/science/article/pii/S2095809919307271

Internet

http://www.sciencedirect.com/science/article/pii/S2095809919307271

Similar Items