Ashaary, Nur Athirah and Wan Ishak, Wan Hussain and Ku-Mahamud, Ku Ruhana (2015) Forecasting model for the change of reservoir water level stage based on temporal pattern of reservoir water level. In: 5th International Conference on Computing and Informatics (ICOCI) 2015, 11-13 August 2015, Istanbul, Turkey.

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Abstract

Reservoir water level forecasting is vital in reservoir operation and management.The output of the forecasting model can be used in reservoir decision support systems.This study demonstrates the application of Artificial Neural Network (ANN) in developing the forecasting model for the change of reservoir water level stage.In this study, sliding window technique has been used to extract the temporal pattern that represents time delays in the reservoir water level. The patterns are used as input to the ANN model.The results show that a model with 4 days of time delay has produced the acceptable performance with both low error rate and high accuracy.

Item Type:	Conference or Workshop Item (Paper)
Additional Information:	ISBN No: 978-967-0910-02-4 Jointly organized by: University Utara Malaysia & Istanbul Zaim University
Uncontrolled Keywords:	reservoir operation, reservoir water level, forecasting model, temporal data mining, artificial neural network
Subjects:	Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Divisions:	School of Computing
Depositing User:	Mr. Wan Hussain Wan Ishak
Date Deposited:	12 Oct 2015 07:56
Last Modified:	27 Apr 2016 01:26
URI:	https://repo.uum.edu.my/id/eprint/15657

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