Application of ANFIS, ARIMA and hybrid models in water demand forecasting

Water demand is the total amount of water required for ecosystem functions and processes and out-of-stream uses. Water demand is important for domestic use, residential, irrigation, and industrial activities. Hence, water demand forecasting has become an essential component in effective water resour...

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Main Author:	Ibrahim, Muhammad Safwan
Format:	Thesis
Published:	2012
Subjects:	QA Mathematics
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id	my-utm-ep.41785
record_format	uketd_dc
spelling	my-utm-ep.417852020-07-02T06:05:01Z Application of ANFIS, ARIMA and hybrid models in water demand forecasting 2012 Ibrahim, Muhammad Safwan QA Mathematics Water demand is the total amount of water required for ecosystem functions and processes and out-of-stream uses. Water demand is important for domestic use, residential, irrigation, and industrial activities. Hence, water demand forecasting has become an essential component in effective water resources planning and management. In this study, water demand data is obtained from Syarikat Air Johor (SAJ) ranging from 1995 until 2011. Data from two areas of Johor that are Muar and Batu Pahat were chosen for analysis. For this study, ANFIS, ARIMA and hybrid models are three methods used for this water demand forecasting. The effectiveness of these models has been investigated based on performances of MAE and MSE. It can be concluded that the hybrid model is an effective method to forecast water demands for Muar and Batu Pahat. The results of the hybrid model show that hybrid model can be applied successfully to establish time series forecasting models, which could provide accurate forecasting and modelling time series 2012 Thesis http://eprints.utm.my/id/eprint/41785/ http://dms.library.utm.my:8080/vital/access/manager/Repository/vital:78902?queryType=vitalDismax&query=Application+of+ANFIS%2C+ARIMA+and+hybrid+models+in+water&public=true masters Universiti Teknologi Malaysia, Faculty of Science Faculty of Science
institution	Universiti Teknologi Malaysia
collection	UTM Institutional Repository
topic	QA Mathematics
spellingShingle	QA Mathematics Ibrahim, Muhammad Safwan Application of ANFIS, ARIMA and hybrid models in water demand forecasting
description	Water demand is the total amount of water required for ecosystem functions and processes and out-of-stream uses. Water demand is important for domestic use, residential, irrigation, and industrial activities. Hence, water demand forecasting has become an essential component in effective water resources planning and management. In this study, water demand data is obtained from Syarikat Air Johor (SAJ) ranging from 1995 until 2011. Data from two areas of Johor that are Muar and Batu Pahat were chosen for analysis. For this study, ANFIS, ARIMA and hybrid models are three methods used for this water demand forecasting. The effectiveness of these models has been investigated based on performances of MAE and MSE. It can be concluded that the hybrid model is an effective method to forecast water demands for Muar and Batu Pahat. The results of the hybrid model show that hybrid model can be applied successfully to establish time series forecasting models, which could provide accurate forecasting and modelling time series
format	Thesis
qualification_level	Master's degree
author	Ibrahim, Muhammad Safwan
author_facet	Ibrahim, Muhammad Safwan
author_sort	Ibrahim, Muhammad Safwan
title	Application of ANFIS, ARIMA and hybrid models in water demand forecasting
title_short	Application of ANFIS, ARIMA and hybrid models in water demand forecasting
title_full	Application of ANFIS, ARIMA and hybrid models in water demand forecasting
title_fullStr	Application of ANFIS, ARIMA and hybrid models in water demand forecasting
title_full_unstemmed	Application of ANFIS, ARIMA and hybrid models in water demand forecasting
title_sort	application of anfis, arima and hybrid models in water demand forecasting
granting_institution	Universiti Teknologi Malaysia, Faculty of Science
granting_department	Faculty of Science
publishDate	2012
_version_	1747816617557884928

Application of ANFIS, ARIMA and hybrid models in water demand forecasting

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