Air pollution forecasts: An overview

L Bai, J Wang, X Ma, H Lu - … journal of environmental research and public …, 2018 - mdpi.com
Air pollution is defined as a phenomenon harmful to the ecological system and the normal
conditions of human existence and development when some substances in the atmosphere …

Intelligent modeling strategies for forecasting air quality time series: A review

H Liu, G Yan, Z Duan, C Chen - Applied Soft Computing, 2021 - Elsevier
In recent years, the deterioration of air quality, the frequent events of the air contaminants,
and the health impacts from that have caused continuous attention by the government and …

A seasonal GM (1, 1) model for forecasting the electricity consumption of the primary economic sectors

ZX Wang, Q Li, LL Pei - Energy, 2018 - Elsevier
To accurately predict the seasonal fluctuations of the electricity consumption of the primary
economic sectors, we propose a seasonal grey model (SGM (1, 1) model) based on the …

Air pollution prediction by using an artificial neural network model

H Maleki, A Sorooshian, G Goudarzi, Z Baboli… - Clean technologies and …, 2019 - Springer
Air pollutants impact public health, socioeconomics, politics, agriculture, and the
environment. The objective of this study was to evaluate the ability of an artificial neural …

An improved multi-step forecasting model based on WRF ensembles and creative fuzzy systems for wind speed

J Zhao, ZH Guo, ZY Su, ZY Zhao, X Xiao, F Liu - Applied Energy, 2016 - Elsevier
Accurate wind speed forecasting, which strongly influences the safe usage of wind
resources, is still a critical issue and a huge challenge. At present, the single-valued …

Analysis and application of forecasting models in wind power integration: A review of multi-step-ahead wind speed forecasting models

J Wang, Y Song, F Liu, R Hou - Renewable and Sustainable Energy …, 2016 - Elsevier
Wind energy, which is clean, inexhaustible and free, has been used to mitigate the crisis of
conventional resource depletion. However, wind power is difficult to implement on a large …

A novel hybrid decomposition-and-ensemble model based on CEEMD and GWO for short-term PM2. 5 concentration forecasting

M Niu, Y Wang, S Sun, Y Li - Atmospheric environment, 2016 - Elsevier
To enhance prediction reliability and accuracy, a hybrid model based on the promising
principle of “decomposition and ensemble” and a recently proposed meta-heuristic called …

A novel hybrid model based on multi-objective Harris hawks optimization algorithm for daily PM2. 5 and PM10 forecasting

P Du, J Wang, Y Hao, T Niu, W Yang - Applied Soft Computing, 2020 - Elsevier
High levels of air pollution can severely affect the living environment and even endanger the
human lives. To reduce air pollution concentrations, and warn the public regarding the …

An improved deep learning model for predicting daily PM2. 5 concentration

F Xiao, M Yang, H Fan, G Fan, MAA Al-Qaness - Scientific reports, 2020 - nature.com
Over the past few decades, air pollution has caused serious damage to public health.
Therefore, making accurate predictions of PM2. 5 is a crucial task. Due to the transportation …

A new air quality monitoring and early warning system: Air quality assessment and air pollutant concentration prediction

Z Yang, J Wang - Environmental research, 2017 - Elsevier
Air pollution in many countries is worsening with industrialization and urbanization, resulting
in climate change and affecting people's health, thus, making the work of policymakers more …