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...

Full description

Saved in:
Bibliographic Details
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:
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
Tags: Add Tag
No Tags, Be the first to tag this record!

Similar Items