Forecasting techniques for air pollution: utilizing Exponential Smoothing and ARIMA methods / Mohammad Nuzul Hakimi Mat Zain
Air pollution poses a significant threat to public health and the environment, necessitating the development of effective forecasting techniques to aid in pollution management and mitigation efforts. This study conducts a comparative analysis of two prominent time series forecasting methods, namely...
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| Format: | Thesis |
| Language: | English |
| Published: |
2024
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| Subjects: | |
| Online Access: | https://ir.uitm.edu.my/id/eprint/95237/1/95237.pdf |
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