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Published in:

Volume 7 Issue 7
July-2020
eISSN: 2349-5162

Unique Identifier

JETIR2007331

Page Number

272-277

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Title

Time Series Analysis for Air Quality Forecasting

ISSN

2349-5162

Cite This Article

"Time Series Analysis for Air Quality Forecasting", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.7, Issue 7, page no.272-277, July-2020, Available :http://www.jetir.org/papers/JETIR2007331.pdf

Abstract

This study conducts a Time Series Analysis of air quality indicators with an aim to forecast the values of air pollutant concentrations like SO2, NO2 and PM10, using Auto Regressive Integrated Moving Average (ARIMA) and Long Short Term Memory (LSTM), for the cities of Margao and Sanguem in the Indian state of Goa. On comparing the results from the two methods, based on the performance measures of Mean Absolute Percentage Error (MAPE) and Root Mean Square Error (RMSE) it is observed that LSTM model achieves a fair prediction of the air pollutant concentration values.

Key Words

Time Series Analysis, Forecasting, ARIMA, LSTM, MAPE, RMSE, Air Quality Index (AQI).

Cite This Article

"Time Series Analysis for Air Quality Forecasting", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.7, Issue 7, page no. pp272-277, July-2020, Available at : http://www.jetir.org/papers/JETIR2007331.pdf

Publication Details

Published Paper ID: JETIR2007331
Registration ID: 235622
Published In: Volume 7 | Issue 7 | Year July-2020
DOI (Digital Object Identifier): http://doi.one/10.1729/Journal.24139
Page No: 272-277
ISSN Number: 2349-5162

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Cite This Article

"Time Series Analysis for Air Quality Forecasting", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.7, Issue 7, page no. pp272-277, July-2020, Available at : http://www.jetir.org/papers/JETIR2007331.pdf




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