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

• Main Authors: Latif, Sarmad Dashti, Lai, Vivien, Hahzaman, Farah Hazwani, Ahmed, Ali Najah, Huang, Yuk Feng, Birima, Ahmed H., El-Shafie, Ahmed
• Format: Article
• Published: Elsevier B.V. 2024
• Subjects: TA Engineering (General). Civil engineering (General)
• Online Access: http://eprints.um.edu.my/44780/

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...