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 …
conditions of human existence and development when some substances in the atmosphere …
Intelligent modeling strategies for forecasting air quality time series: A review
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 …
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 …
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 …
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
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 …
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
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 …
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 …
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
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 …
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 …
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 …
in climate change and affecting people's health, thus, making the work of policymakers more …