Hybrid SSA-TSR-ARIMA for water demand forecasting

Hybrid SSA-TSR-ARIMA for water demand forecasting

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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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Bibliographic Details
Main Authors: Suhartono Suhartono, Salafiyah Isnawati, Novi Ajeng Salehah, Dedy Dwi Prastyo, Heri Kuswanto, Muhammad Hisyam Lee
Format: Article
Language:English
Published: Universitas Ahmad Dahlan 2018-11-01
Series:IJAIN (International Journal of Advances in Intelligent Informatics)
Subjects:
Singular spectrum analysis
Time series regression
Automatic ARIMA
Hybrid method
Water demand forecasting
Online Access:http://ijain.org/index.php/IJAIN/article/view/275

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