Multi‐step air quality index forecasting via data preprocessing, sequence reconstruction, and improved multi‐objective optimization algorithm-Reference-Cited by-同舟云学术

Multi‐step air quality index forecasting via data preprocessing, sequence reconstruction, and improved multi‐objective optimization algorithm

Published:2022-06-14 Issue:7 Volume:41 Page:1483-1511
ISSN:0277-6693
Container-title:Journal of Forecasting
language:en
Short-container-title:Journal of Forecasting

Author:

Wang Ying¹,Wang Jianzhou²,Li Hongmin³,Yang Hufang⁴,Li Zhiwu⁵

Affiliation:

1. School of Economics Hainan University Haikou China

2. School of Statistics Dongbei University of Finance and Economics Dalian China

3. College of Economics and Management Northeast Forestry University Harbin China

4. School of Economics Nanjing University of Posts and Telecommunications Nanjing China

5. Institute of Systems Engineering Macau University of Science and Technology Macau China

Funder

National Social Science Fund of China

Publisher

Wiley

Subject

Management Science and Operations Research,Statistics, Probability and Uncertainty,Strategy and Management,Computer Science Applications,Modeling and Simulation

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/for.2872

Reference65 articles.

1. Air pollutants concentrations forecasting using back propagation neural network based on wavelet decomposition with meteorological conditions

2. A population initialization method for evolutionary algorithms based on clustering and Cauchy deviates

3. Circulant singular spectrum analysis: A new automated procedure for signal extraction

4. Prediction of hourly air pollutant concentrations near urban arterials using artificial neural network approach

5. Air quality index assessment prelude to mitigate environmental hazards

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