http://www.iaeme.com/IJMET/index.asp 1026 editor@iaeme.com International Journal of Mechanical Engineering and Technology (IJMET) Volume 10, Issue 01, January 2019, pp. 1026–1032, Article ID: IJMET_10_01_106 Available online at http://www.iaeme.com/ijmet/issues.asp?JType=IJMET&VType=10&IType=1 ISSN Print: 0976-6340 and ISSN Online: 0976-6359 © IAEME Publication Scopus Indexed SMOG PREDICTION MODEL USING TIME SERIES WITH LONG-SHORT TERM MEMORY S Geetha Assistant Professor (Sr. Grade), Department of Computer Applications, Mepco Schlenk Engineering College, India L Prasika Assistant Professor, Department of Computer Applications, Mepco Schlenk Engineering College, India ABSTRACT Smog triggered due to air pollutants and fog. Deep Learning techniques are applied to predict the smog severity. This paper presents deep learning based predictive model for various air pollutants (NO 2 , NOx, CO, SO 2 , O 3 , PM 2.5 , PM 10 ) for metropolitan area Air pollution dataset. Central Pollution Control Board (CPCB) is monitoring air, water, waste, etc through nationwide programs. Through National Air Quality Monitoring program, the primary and secondary air pollutants are captured and available in online. In this paper, two traditional predictive models along with deep learning technique Long-Short Term Memory (LSTM) are used for predicting the air pollutants. Before training the model, the missing values and noise in dataset were imputed using mean value. Then, the models are built with LR, ARIMA, and LSTM. Finally, the models performance is measured using Mean Absolute Error and Root Mean Square Error (RMSE). LSTM performed better than LR and ARIMA. Key words: Smog; Linear Regression; Autoregressive Integrate Moving Average; Long Short Term Memory; Predictive Model; NO2; NOx; CO; SO2; O3; PM2.5; PM10;. Cite this Article: S Geetha, L Prasika, Smog Prediction Model using Time Series with Long-Short Term Memory, International Journal of Mechanical Engineering and Technology 10(1), 2019, pp. 1026–1032. http://www.iaeme.com/IJMET/issues.asp?JType=IJMET&VType=10&IType=1 1. INTRODUCTION Currently, Globe is getting alarmed by smog. Air pollution with fog leading to Smog. Due to Ground level ozone and fine particles are released in the air leads to smog. Air is getting polluted aggressively in recent years due to vehicle emissions, industries, fuel and stubble burning. The primary air pollutants (CO, NOx, PM 10 , PM 2.5 , and SO 2 ), and secondary air pollutants (NO 2 and O 3 ) assorted with the meteorological factors (Temperature, Humidity, Wind) forming the smog. With substantial evidences, Particulate Matter and O 3 with NO 2 are