articleArtificial Intelligence ReviewFeb 16, 2023HYBRID OA

Machine learning algorithms to forecast air quality: a survey

MMManuel MéndezMGMercedes G. MerayoMNManuel Núñez

Universidad Complutense de Madrid

PubMed
Indexed incrossrefpubmed

Abstract

Air pollution is a risk factor for many diseases that can lead to death. Therefore, it is important to develop forecasting mechanisms that can be used by the authorities, so that they can anticipate measures when high concentrations of certain pollutants are expected in the near future. Machine Learning models, in particular, Deep Learning models, have been widely used to forecast air quality. In this paper we present a comprehensive review of the main contributions in the field during the period 2011-2021. We have searched the main scientific publications databases and, after a careful selection, we have considered a total of 155 papers. The papers are classified in terms of geographical distribution,…

Citation impact

268
total citations
FWCI
31.02
Percentile
100%
References
169
Citations per year

Authors

3

Topics & keywords

Topics
Keywords
  • Computer science
  • Quality (philosophy)
  • Machine learning
  • Artificial intelligence
  • Air quality index
  • Meteorology
UN Sustainable Development Goals
  • Good health and well-being
No related works found for this paper.

Funding