Prediction of Future Ozone Concentration for Next Three Days Using Linear Regression and Nonlinear Regression Models

Prediction of Future Ozone Concentration for Next Three Days Using Linear Regression and Nonlinear Regression Models

The aim of this research is to predict the ozone concentration level for the next three days. Linear regression model and a nonlinear regression model are used to measure the air pollution data and the result was compared. The performance indicator used to evaluate the accuracy of the methods is Ind...

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Bibliographic Details
Main Authors: Abdullah M.M.A.-B (Author), Ezzah Shamimi, R. (Author), Hafiz Zawawi, M. (Author), Mohamad, D. (Author), Mubin Zahari, N. (Author), Rahim S.Z.A (Author), Rosli M.F (Author), Saad M.N.M (Author), Talib M.S (Author), Zain A.M (Author), Zia Ul-Saufie, A. (Author)
Format: Article
Language:English
Published: Institute of Physics Publishing 2019
Subjects:
Air pollution
Coefficient of determination
Errors
Forecasting
Green computing
Index of agreements
Linear regression
Linear regression models
Mean square error
Nonlinear regression models
Normalized absolute errors
Ozone
Performance indicators
Prediction accuracy
Root mean square errors
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