The Hybrid EMD-SARIMA Model for Air Quality Index Prediction, Case of Canton Sarajevo

[1]  Jingjing Xie,et al.  Air pollutants concentrations forecasting using back propagation neural network based on wavelet decomposition with meteorological conditions , 2016 .

[2]  Lu Liu,et al.  An EMD-SARIMA-Based Modeling Approach for Air Traffic Forecasting , 2017, Algorithms.

[3]  Haiyan Lu,et al.  Air Pollution Forecasts: An Overview , 2018, International journal of environmental research and public health.

[4]  D. Carruthers,et al.  Comparisons between FLUENT and ADMS for atmospheric dispersion modelling , 2004 .

[5]  N. Huang,et al.  The empirical mode decomposition and the Hilbert spectrum for nonlinear and non-stationary time series analysis , 1998, Proceedings of the Royal Society of London. Series A: Mathematical, Physical and Engineering Sciences.

[6]  Diego Andina,et al.  Development of a model for forecasting of PM10 concentrations in Salamanca, Mexico , 2015 .

[7]  Beibei Sun,et al.  Analysis and forecasting of the particulate matter (PM) concentration levels over four major cities of China using hybrid models , 2014 .

[8]  R. Baggio,et al.  Quantitative Methods in Tourism , 2017 .

[9]  P. Goyal,et al.  Development of artificial intelligence based NO 2 forecasting models at Taj Mahal, Agra , 2015 .

[10]  Suhartono,et al.  Artificial neural networks and fuzzy time series forecasting: an application to air quality , 2014, Quality & Quantity.

[11]  Alexander J. Smola,et al.  Support Vector Regression Machines , 1996, NIPS.

[12]  Bart Kosko,et al.  Neural networks and fuzzy systems: a dynamical systems approach to machine intelligence , 1991 .

[13]  Ayse Betül Oktay,et al.  Forecasting air pollutant indicator levels with geographic models 3 days in advance using neural networks , 2010, Expert Syst. Appl..

[14]  Kim N. Dirks,et al.  Development of an ANN-based air pollution forecasting system with explicit knowledge through sensitivity analysis , 2014 .

[15]  Georgios Grivas,et al.  Artificial neural network models for prediction of PM10 hourly concentrations, in the Greater Area of Athens, Greece , 2006 .

[16]  Feng Liu,et al.  The forecasting research of early warning systems for atmospheric pollutants: A case in Yangtze River Delta region , 2015 .

[17]  Sandro Finardi,et al.  Application of bias adjustment techniques to improve air quality forecasts , 2015 .

[18]  Samir Avdakovic,et al.  A new approach for df/dt and active power imbalance in power system estimation using Huang’s Empirical Mode decomposition , 2019 .