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Data multi-scale decomposition strategies for air pollution forecasting: A comprehensive review

  • Published:2020-12 Issue: Volume:277 Page:124023
  • ISSN:0959-6526
  • Container-title:Journal of Cleaner Production
  • language:en
  • Short-container-title:Journal of Cleaner Production

Author:

Liu Hui,Yin Shi,Chen Chao,Duan Zhu

Funder

National Natural Science Foundation of China

Changsha Science & Technology Project

Central South University

Publisher

Elsevier BV

Subject

Industrial and Manufacturing Engineering,Strategy and Management,General Environmental Science,Renewable Energy, Sustainability and the Environment

Reference115 articles.

1. A new feature selection technique for load and price forecast of electrical power systems;Abedinia;IEEE Trans. Power Syst.,2016

2. Denoising of an Image Using Discrete Stationary Wavelet Transform and Various Thresholding Techniques;Al Jumah,2013

3. PM10 emission forecasting using artificial neural networks and genetic algorithm input variable optimization;Antanasijević;Sci. Total Environ.,2013

4. Air pollutants concentrations forecasting using back propagation neural network based on wavelet decomposition with meteorological conditions;Bai;Atmospheric pollution research,2016

5. Air pollution forecasts: an overview;Bai;Int. J. Environ. Res. Publ. Health,2018

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