Hybrid SSA-TSR-ARIMA for water demand forecasting

• Main Authors: Suhartono, Suhartono, Isnawati, S., Salehah, N. A., Prastyo, D. D., Kuswanto, H., Lee, M. H.
• Format: Article
• Language: English
• Published: Universitas Ahmad Dahlan 2018
• Subjects: QA Mathematics
• Online Access: http://eprints.utm.my/id/eprint/79660/1/MuhammadHisyamLee2018_HybridSSA-TSR-ARIMAforwater.pdf; http://eprints.utm.my/id/eprint/79660/; http://dx.doi.org/10.26555/ijain.v4i3.275

Water supply management effectively becomes challenging due to the human population and their needs have been growing rapidly. The aim of this research is to propose hybrid methods based on Singular Spectrum Analysis (SSA) decomposition, Time Series Regression (TSR), and Automatic Autoregressive Int...