Ozone concentration forecasting utilizing leveraging of regression machine learnings: A case study at Klang Valley, Malaysia

Ozone concentration forecasting utilizing leveraging of regression machine learnings: A case study at Klang Valley, Malaysia

At Klang Valley, ground-level ozone is a significant source of air pollution. Ozone (O3) concentration is affected by meteorological conditions and air pollutants. Linear Regression Models (LRM), Regression Trees (RT), Support Vector Machines (SVM), Ensembles of Trees (ET), Gaussian Process Regressi...

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Bibliographic Details
Main Authors: Sarmad Dashti Latif, Vivien Lai, Farah Hazwani Hahzaman, Ali Najah Ahmed, Yuk Feng Huang, Ahmed H. Birima, Ahmed El-Shafie
Format: Article
Language:English
Published: Elsevier 2024-03-01
Series:Results in Engineering
Subjects:
Ozone concentration
Air pollution
Regression machine learnings
Prediction
Klang Valley
Online Access:http://www.sciencedirect.com/science/article/pii/S2590123024001257

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http://www.sciencedirect.com/science/article/pii/S2590123024001257

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