[HTML][HTML] A review of energy systems models in the UK: Prevalent usage and categorisation

LMH Hall, AR Buckley - Applied Energy, 2016 - Elsevier
In this paper, a systematic review of academic literature and policy papers since 2008 is
undertaken with an aim of identifying the prevalent energy systems models and tools in the …

Predicting the quality of air with machine learning approaches: Current research priorities and future perspectives

K Mehmood, Y Bao, W Cheng, MA Khan… - Journal of Cleaner …, 2022 - Elsevier
The spiraling growth of the world's population and unregulated urbanization have resulted in
many environmental problems, including poor quality of air, which is associated with a wide …

A new hybrid optimization prediction model for PM2. 5 concentration considering other air pollutants and meteorological conditions

H Yang, Z Liu, G Li - Chemosphere, 2022 - Elsevier
With the development of economy, the problem of air pollution has become increasingly
serious. As an important detection index of air pollutants, how to accurately and effectively …

Relevance analysis and short-term prediction of PM2. 5 concentrations in Beijing based on multi-source data

XY Ni, H Huang, WP Du - Atmospheric environment, 2017 - Elsevier
The PM 2.5 problem is proving to be a major public crisis and is of great public-concern
requiring an urgent response. Information about, and prediction of PM 2.5 from the …

Recurrent air quality predictor based on meteorology-and pollution-related factors

K Gu, J Qiao, W Lin - IEEE Transactions on Industrial …, 2018 - ieeexplore.ieee.org
Air quality is currently arousing drastically increasing attention from the governments and
populace all over the world. In this paper, we propose a heuristic recurrent air quality …

A feature selection and multi-model fusion-based approach of predicting air quality

Y Zhang, R Zhang, Q Ma, Y Wang, Q Wang, Z Huang… - ISA transactions, 2020 - Elsevier
With the rapid development of China's industrialization, the air pollution is becoming more
and more serious. It is vital for us to predict the air quality for determining the further …

Air quality modeling to inform pollution mitigation strategies in a Latin American megacity

J East, JS Montealegre, JE Pachon… - Science of the Total …, 2021 - Elsevier
Poor air quality disproportionally impacts cities in low-and middle-income countries. In
Bogotá, Colombia, a metropolitan area with over 10 million inhabitants, fine particulate …

Evaluating the influence of land use and land cover change on fine particulate matter

W Yang, X Jiang - Scientific Reports, 2021 - nature.com
Fine particulate matter (ie particles with diameters smaller than 2.5 microns, PM2. 5) has
become a critical environmental issue in China. Land use and land cover (LULC) is …

Long-term hourly air quality data bridging of neighboring sites using automated machine learning: A case study in the Greater Bay area of China

B Wu, C Wu, Y Ye, C Pei, T Deng, YJ Li, X Lu… - Atmospheric …, 2024 - Elsevier
Long-term air pollution data are essential for formulating air quality management policies
and assessing their corresponding impacts on public health. However, missing data are …

Characterization of ambient volatile organic compounds, source apportionment, and the ozone-NOx-VOC sensitivities in a heavily polluted megacity of central China …

S Yu, F Su, S Yin, S Wang, R Xu, B He… - Atmospheric …, 2021 - acp.copernicus.org
The implementation of strict emission control during the 11th National Minority Games
(NMG) in September 2019 provided a valuable opportunity to assess the impact of such …