PM2.5 concentration forecasting through a novel multi-scale ensemble learning approach considering intercity synergy

Air quality forecasting with artificial intelligence techniques: A scientometric and content analysis

(2022) Yanzhao Li et al.   ENVIRONMENTAL MODELLING & SOFTWARE

A spatial multi-resolution multi-objective data-driven ensemble model for multi-step air quality index forecasting based on real-time decomposition

(2021) Hui Liu et al.   COMPUTERS IN INDUSTRY

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

Predictions and mitigation strategies of PM2.5 concentration in the Yangtze River Delta of China based on a novel nonlinear seasonal grey model

(2021) Weijie Zhou et al.   ENVIRONMENTAL POLLUTION

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

Pathways of China's PM2.5 air quality 2015–2060 in the context of carbon neutrality

(2021) Jing Cheng et al.   National Science Review

Hybrid forecasting system based on data area division and deep learning neural network for short-term wind speed forecasting

(2021) Zhuoyi Liu et al.   ENERGY CONVERSION AND MANAGEMENT

Hybrid wind speed forecasting model based on multivariate data secondary decomposition approach and deep learning algorithm with attention mechanism

(2021) Shuai Zhang et al.   RENEWABLE ENERGY

Influence of pollution reduction interventions on atmospheric PM2.5: A case study from the 2017 Xiamen

(2021) Shanshan Wang et al.   Atmospheric Pollution Research

Prediction into the future: A novel intelligent approach for PM2.5 forecasting in the ambient air of open-pit mining

(2021) Xiang Lu et al.   Atmospheric Pollution Research

A graph-based LSTM model for PM2.5 forecasting

(2021) Xi Gao et al.   Atmospheric Pollution Research

Improvement of PM2.5 and O3 forecasting by integration of 3D numerical simulation with deep learning techniques

(2021) Haochen Sun et al.   Sustainable Cities and Society

An improved pollution forecasting model with meteorological impact using multiple imputation and fine-tuning approach

(2021) K. Krishna Rani Samal et al.   Sustainable Cities and Society

Forecasting PM2.5 levels in Santiago de Chile using deep learning neural networks

(2021) Camilo Menares et al.   Urban Climate

A combined forecasting system based on multi-objective optimization and feature extraction strategy for hourly PM2.5 concentration

(2021) Jianzhou Wang et al.   APPLIED SOFT COMPUTING

Multivariate empirical mode decomposition based hybrid model for day-ahead peak load forecasting

(2021) Yanmei Huang et al.   ENERGY

A novel multi-modal analysis model with Baidu Search Index for subway passenger flow forecasting

(2021) Kun Jin et al.   ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE

Global burden of COPD attributable to ambient PM2.5 in 204 countries and territories, 1990 to 2019: A systematic analysis for the Global Burden of Disease Study 2019

(2021) Xiaorong Yang et al.   SCIENCE OF THE TOTAL ENVIRONMENT

Development and application of an automated air quality forecasting system based on machine learning

(2021) Huabing Ke et al.   SCIENCE OF THE TOTAL ENVIRONMENT

A novel PSO-KELM based soil liquefaction potential evaluation system using CPT and Vs measurements

(2021) Zening Zhao et al.   SOIL DYNAMICS AND EARTHQUAKE ENGINEERING

Air pollution forecasting with multivariate interval decomposition ensemble approach

(2021) Yawei Dong et al.   Atmospheric Pollution Research

Hourly PM2.5 concentration forecasting based on feature extraction and Stacking-driven ensemble model for the winter of the Beijing-Tianjin-Hebei area

(2020) Wei Sun et al.   Atmospheric Pollution Research

Paradigm shift in aerosol chemical composition over regions downwind of China

(2020) Itsushi Uno et al.   Scientific Reports

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

(2020) Haiping Wu et al.   Atmospheric Pollution Research

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

(2020) Pei Du et al.   APPLIED SOFT COMPUTING

Concentration estimation of dissolved oxygen in Pearl River Basin using input variable selection and machine learning techniques

(2020) Wenjing Li et al.   SCIENCE OF THE TOTAL ENVIRONMENT

Large-scale climate variability controls on climate, vegetation coverage, lake and groundwater storage in the Lake Urmia watershed using SSA and wavelet analysis

(2020) Abolfazl Rezaei et al.   SCIENCE OF THE TOTAL ENVIRONMENT

Hybrid ensemble intelligent model based on wavelet transform, swarm intelligence and artificial neural network for electricity demand forecasting

(2020) Eric Ofori-Ntow Jnr et al.   Sustainable Cities and Society

A combined model based on data preprocessing strategy and multi-objective optimization algorithm for short-term wind speed forecasting

(2019) Xinsong Niu et al.   APPLIED ENERGY

Impacts of air pollution on human and ecosystem health, and implications for the National Emission Ceilings Directive: Insights from Italy

(2019) Alessandra De Marco et al.   ENVIRONMENT INTERNATIONAL

Air PM2.5 concentration multi-step forecasting using a new hybrid modeling method: Comparing cases for four cities in China

(2019) Hui Liu et al.   Atmospheric Pollution Research

Understanding transboundary air pollution network: Emissions, depositions and spatio-temporal distribution of pollution in European region

(2019) George Halkos et al.   RESOURCES CONSERVATION AND RECYCLING

Improving SPI-derived drought forecasts incorporating synoptic-scale climate indices in multi-phase multivariate empirical mode decomposition model hybridized with simulated annealing and kernel ridge regression algorithms

(2019) Mumtaz Ali et al.   JOURNAL OF HYDROLOGY

Climate and air-quality benefits of a realistic phase-out of fossil fuels

(2019) Drew Shindell et al.   NATURE

Lidar data assimilation method based on CRTM and WRF-Chem models and its application in PM2.5 forecasts in Beijing

(2019) Xinghong Cheng et al.   SCIENCE OF THE TOTAL ENVIRONMENT

A hybrid-wavelet model applied for forecasting PM2.5 concentrations in Taiyuan city, China

(2019) Ping Wang et al.   Atmospheric Pollution Research

Daily urban air quality index forecasting based on variational mode decomposition, sample entropy and LSTM neural network

(2019) Qunli Wu et al.   Sustainable Cities and Society

A hybrid multi-resolution multi-objective ensemble model and its application for forecasting of daily PM2.5 concentrations

(2019) Hui Liu et al.   INFORMATION SCIENCES

Discovering relationships and forecasting PM 10 and PM 2.5 concentrations in Bogotá, Colombia, using Artificial Neural Networks, Principal Component Analysis, and k-means clustering

(2018) Fabiana Franceschi et al.   Atmospheric Pollution Research

Wind speed prediction model using singular spectrum analysis, empirical mode decomposition and convolutional support vector machine

(2018) Xiwei Mi et al.   ENERGY CONVERSION AND MANAGEMENT

Hybrid algorithm for short-term forecasting of PM2.5 in China

(2018) Yong Cheng et al.   ATMOSPHERIC ENVIRONMENT

Estimation of time-dependent Hurst exponents with variational smoothing and application to forecasting foreign exchange rates

(2017) Matthieu Garcin   PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS

Extreme learning machines: a survey

(2011) Guang-Bin Huang et al.   International Journal of Machine Learning and Cybernetics