Two-stage deep learning hybrid framework based on multi-factor multi-scale and intelligent optimization for air pollutant prediction and early warning

Influence of AOD remotely sensed products, meteorological parameters, and AOD–PM2.5 models on the PM2.5 estimation

(2021) Yuelei Xu et al.   STOCHASTIC ENVIRONMENTAL RESEARCH AND RISK ASSESSMENT

LSTM integrated with Boruta-random forest optimiser for soil moisture estimation under RCP4.5 and RCP8.5 global warming scenarios

(2021) A. A. Masrur Ahmed et al.   STOCHASTIC ENVIRONMENTAL RESEARCH AND RISK ASSESSMENT

A comparison of ranking filter methods applied to the estimation of NO2 concentrations in the Bay of Algeciras (Spain)

(2021) Javier González-Enrique et al.   STOCHASTIC ENVIRONMENTAL RESEARCH AND RISK ASSESSMENT

Multi-directional temporal convolutional artificial neural network for PM2.5 forecasting with missing values: A deep learning approach

(2021) K. Krishna Rani Samal et al.   Urban Climate

PM2.5 concentration forecasting at surface monitoring sites using GRU neural network based on empirical mode decomposition

(2021) Guoyan Huang et al.   SCIENCE OF THE TOTAL ENVIRONMENT

Forecasting China’s sovereign CDS with a decomposition reconstruction strategy

(2021) Jianping Li et al.   APPLIED SOFT COMPUTING

Combining machine learning models through multiple data division methods for PM2.5 forecasting in Northern Xinjiang, China

(2021) Miaomiao Ren et al.   ENVIRONMENTAL MONITORING AND ASSESSMENT

PM2.5 concentration distribution patterns and influencing meteorological factors in the central and eastern China during 1980–2018

(2021) Jinghui Ma et al.   Journal of Cleaner Production

PM2.5 concentrations forecasting in Beijing through deep learning with different inputs, model structures and forecast time

(2021) Jie Yang et al.   Atmospheric Pollution Research

Forecasting stock index price using the CEEMDAN-LSTM model

(2021) Yu Lin et al.   North American Journal of Economics and Finance

A Spatiotemporal Recurrent Neural Network for Prediction of Atmospheric PM2.5: A Case Study of Beijing

(2021) Bo Liu et al.   IEEE Transactions on Computational Social Systems

Forecasting PM2.5 concentration using artificial neural network and its health effects in Ahvaz, Iran

(2021) Gholamreza Goudarzi et al.   CHEMOSPHERE

Wind power 24-h ahead forecast by an artificial neural network and an hybrid model: Comparison of the predictive performance

(2021) Emanuele Ogliari et al.   RENEWABLE ENERGY

Short-term water quality variable prediction using a hybrid CNN–LSTM deep learning model

(2020) Rahim Barzegar et al.   STOCHASTIC ENVIRONMENTAL RESEARCH AND RISK ASSESSMENT

PM2.5 concentrations forecasting using a new multi-objective feature selection and ensemble framework

(2020) Haiping Wu et al.   Atmospheric Pollution Research

Multi-objective optimization of crude oil-supply portfolio based on interval prediction data

(2020) Xiaolei Sun et al.   ANNALS OF OPERATIONS RESEARCH

Hourly PM2.5 concentration forecasting based on mode decomposition-recombination technique and ensemble learning approach in severe haze episodes of China

(2020) Wei Sun et al.   JOURNAL OF CLEANER PRODUCTION

Spatio-temporal variation and daily prediction of PM2.5 concentration in world-class urban agglomerations of China

(2020) Dan Yan et al.   ENVIRONMENTAL GEOCHEMISTRY AND HEALTH

An innovative random forest-based nonlinear ensemble paradigm of improved feature extraction and deep learning for carbon price forecasting

(2020) Jujie Wang et al.   SCIENCE OF THE TOTAL ENVIRONMENT

Predictability dynamics of multifactor-influenced installed capacity: A perspective of country clustering

(2020) Qianqian Feng et al.   ENERGY

Improving short-term wind power prediction using hybrid improved cuckoo search arithmetic - Support vector regression machine

(2020) Ling-ling Li et al.   JOURNAL OF CLEANER PRODUCTION

Predictability of PM2.5 in Seoul based on atmospheric blocking forecasts using the NCEP global forecast system

(2020) Uju Shin et al.   ATMOSPHERIC ENVIRONMENT

Optimal selection of heterogeneous ensemble strategies of time series forecasting with multi-objective programming

(2020) Jianping Li et al.   EXPERT SYSTEMS WITH APPLICATIONS

Hourly PM2.5 concentration forecast using stacked autoencoder model with emphasis on seasonality

(2019) Yun Bai et al.   JOURNAL OF CLEANER PRODUCTION

An ensemble long short-term memory neural network for hourly PM2.5 concentration forecasting

(2019) Yun Bai et al.   CHEMOSPHERE

Short-term PM2.5 forecasting based on CEEMD-RF in five cities of China

(2019) Da Liu et al.   ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH

Stacked Selective Ensemble for PM2.5 Forecast

(2019) Ke Gu et al.   IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT

PM 2.5 forecasting using SVR with PSOGSA algorithm based on CEEMD, GRNN and GCA considering meteorological factors

(2018) Suling Zhu et al.   ATMOSPHERIC ENVIRONMENT

Research and application of a novel hybrid decomposition-ensemble learning paradigm with error correction for daily PM 10 forecasting

(2018) Hongyuan Luo et al.   ATMOSPHERIC RESEARCH

Forecasting energy fluctuation model by wavelet decomposition and stochastic recurrent wavelet neural network

(2018) Lili Huang et al.   NEUROCOMPUTING

PM 10 concentration forecasting in the metropolitan area of Oviedo (Northern Spain) using models based on SVM, MLP, VARMA and ARIMA: A case study

(2018) P.J. García Nieto et al.   SCIENCE OF THE TOTAL ENVIRONMENT

Time Series Forecasting of Air Quality Based On Regional Numerical Modeling in Hong Kong

(2018) Tong Liu et al.   JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES

Estimation of the Impact of Traveler Information Apps on Urban Air Quality Improvement

(2018) Wenke Huang et al.   Engineering

Modelling reference evapotranspiration using a new wavelet conjunction heuristic method: Wavelet extreme learning machine vs wavelet neural networks

(2018) Ozgur Kisi et al.   AGRICULTURAL AND FOREST METEOROLOGY

Trend analysis and forecast of PM2.5 in Fuzhou, China using the ARIMA model

(2018) Lanyi Zhang et al.   ECOLOGICAL INDICATORS

Rainfall time series disaggregation in mountainous regions using hybrid wavelet-artificial intelligence methods

(2018) Vahid Nourani et al.   ENVIRONMENTAL RESEARCH

Daily air quality index forecasting with hybrid models: A case in China

(2017) Suling Zhu et al.   ENVIRONMENTAL POLLUTION

Research and application of a hybrid model based on dynamic fuzzy synthetic evaluation for establishing air quality forecasting and early warning system: A case study in China

(2017) Yunzhen Xu et al.   ENVIRONMENTAL POLLUTION

Recursive neural network model for analysis and forecast of PM10 and PM2.5

(2017) Fabio Biancofiore et al.   Atmospheric Pollution Research

Day-Ahead PM2.5 Concentration Forecasting Using WT-VMD Based Decomposition Method and Back Propagation Neural Network Improved by Differential Evolution

(2017) Deyun Wang et al.   International Journal of Environmental Research and Public Health

Detecting the causality influence of individual meteorological factors on local PM2.5 concentration in the Jing-Jin-Ji region

(2017) Ziyue Chen et al.   Scientific Reports

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

(2016) Mingfei Niu et al.   ATMOSPHERIC ENVIRONMENT

What Causes Haze Pollution? An Empirical Study of PM2.5 Concentrations in Chinese Cities

(2016) Jiannan Wu et al.   Sustainability

Using the gray wolf optimizer for solving optimal reactive power dispatch problem

(2015) Mohd Herwan Sulaiman et al.   APPLIED SOFT COMPUTING

Evolution of surface O3 and PM2.5 concentrations and their relationships with meteorological conditions over the last decade in Beijing

(2015) Ziyin Zhang et al.   ATMOSPHERIC ENVIRONMENT

Real time air quality forecasting using integrated parametric and non-parametric regression techniques

(2015) Aoife Donnelly et al.   ATMOSPHERIC ENVIRONMENT

Artificial neural networks forecasting of PM 2.5 pollution using air mass trajectory based geographic model and wavelet transformation

(2015) Xiao Feng et al.   ATMOSPHERIC ENVIRONMENT

A novel hybrid forecasting model for PM10 and SO2 daily concentrations

(2015) Ping Wang et al.   SCIENCE OF THE TOTAL ENVIRONMENT

Grey Wolf Optimizer

(2014) Seyedali Mirjalili et al.   ADVANCES IN ENGINEERING SOFTWARE

New indices for wet scavenging of air pollutants (O3, CO, NO2, SO2, and PM10) by summertime rain

(2013) Jung-Moon Yoo et al.   ATMOSPHERIC ENVIRONMENT

Chemical composition of PM2.5 in an urban environment in Chengdu, China: Importance of springtime dust storms and biomass burning

(2012) Jun Tao et al.   ATMOSPHERIC RESEARCH

Estimating ground-level PM2.5 concentrations in the southeastern U.S. using geographically weighted regression

(2012) Xuefei Hu et al.   ENVIRONMENTAL RESEARCH

A hybrid annual power load forecasting model based on generalized regression neural network with fruit fly optimization algorithm

(2012) Hong-ze Li et al.   KNOWLEDGE-BASED SYSTEMS

Correlations between fine particulate matter (PM2.5) and meteorological variables in the United States: Implications for the sensitivity of PM2.5 to climate change

(2010) Amos P.K. Tai et al.   ATMOSPHERIC ENVIRONMENT

Combining deterministic and statistical approaches for PM10 forecasting in Europe

(2009) I.B. Konovalov et al.   ATMOSPHERIC ENVIRONMENT

Does a weekend effect in diurnal temperature range exist in the eastern and central Tibetan Plateau?

(2009) Qinglong You et al.   Environmental Research Letters

Evaluation and intercomparison of meteorological predictions by five MM5-PBL parameterizations in combination with three land-surface models

(2007) Zhiwei Han et al.   ATMOSPHERIC ENVIRONMENT