Hybrid SSA-TSR-ARIMA for water demand forecasting

Hybrid SSA-TSR-ARIMA for water demand forecasting

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...

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Main Authors: Suhartono, Suhartono (Author), Isnawati, Salafiyah (Author), Salehah, Novi Ajeng (Author), Prastyo, Dedy Dwi (Author), Kuswanto, Heri (Author), Lee, Muhammad Hisyam (Author)
Format: EJournal Article
Published: Universitas Ahmad Dahlan, 2018-11-11.
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info:eu-repo/semantics/article
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