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...

Popoln opis

Shranjeno v:
Bibliografske podrobnosti
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
Izdano: Universitas Ahmad Dahlan, 2018-11-11.
Teme:
info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
Online dostop:Get Fulltext
Oznake: Označite
Brez oznak, prvi označite!

Internet

Get Fulltext

3rd Floor Main Library

Podrobnosti zaloge 3rd Floor Main Library
Signatura: A1234.567
Kopija 1 Prosto

Podobne knjige/članki