Hybrid seasonal ARIMA and artificial neural network in forecasting southeast asia city air pollutant index

• Main Authors: Abd Rahman, Nur Haizum, Lee, Muhammad Hisyam, Suhartono, Latif, Mohd Talib
• Format: Article
• Language: English
• Published: Academy of Sciences Malaysia 2019
• Online Access: http://psasir.upm.edu.my/id/eprint/80111/1/Hybrid%20Seasonal%20ARIMA%20and%20Artificial%20Neural%20Network%20in%20Forecasting%20Southeast%20Asia%20City%20Air%20Pollutant%20Index.pdf; http://psasir.upm.edu.my/id/eprint/80111/; https://www.akademisains.gov.my/asmsj/article/hybrid-seasonal-arima-and-artificial-neural-network-in-forecasting-southeast-asia-city-air-pollutant-index/
• Institution: Universiti Putra Malaysia

The rise of air pollution has received much attention globally. As an early warning system for air quality control and management, it is important to provide precise future concentrations pollutant information. Using time series forecasting methods, the forecast of daily Air Pollutant Index (API) is...