Forecasting model for the change of reservoir water level stage based on temporal pattern of reservoir water level
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 rese...
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Format: | Conference or Workshop Item |
Language: | English |
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2015
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Online Access: | https://repo.uum.edu.my/id/eprint/15657/1/PID203.pdf |
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author | Ashaary, Nur Athirah Wan Ishak, Wan Hussain Ku-Mahamud, Ku Ruhana |
author_facet | Ashaary, Nur Athirah Wan Ishak, Wan Hussain Ku-Mahamud, Ku Ruhana |
author_sort | Ashaary, Nur Athirah |
collection | UUM |
description | 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. |
first_indexed | 2024-07-04T05:59:19Z |
format | Conference or Workshop Item |
id | uum-15657 |
institution | Universiti Utara Malaysia |
language | English |
last_indexed | 2024-07-04T05:59:19Z |
publishDate | 2015 |
record_format | eprints |
spelling | uum-156572016-04-27T01:26:04Z https://repo.uum.edu.my/id/eprint/15657/ Forecasting model for the change of reservoir water level stage based on temporal pattern of reservoir water level Ashaary, Nur Athirah Wan Ishak, Wan Hussain Ku-Mahamud, Ku Ruhana QA75 Electronic computers. Computer science 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. 2015-08-11 Conference or Workshop Item PeerReviewed application/pdf en https://repo.uum.edu.my/id/eprint/15657/1/PID203.pdf 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. http://www.icoci.cms.net.my/proceedings/2015/TOC.html |
spellingShingle | QA75 Electronic computers. Computer science Ashaary, Nur Athirah Wan Ishak, Wan Hussain Ku-Mahamud, Ku Ruhana Forecasting model for the change of reservoir water level stage based on temporal pattern of reservoir water level |
title | Forecasting model for the change of reservoir water level stage based on temporal pattern of reservoir water level |
title_full | Forecasting model for the change of reservoir water level stage based on temporal pattern of reservoir water level |
title_fullStr | Forecasting model for the change of reservoir water level stage based on temporal pattern of reservoir water level |
title_full_unstemmed | Forecasting model for the change of reservoir water level stage based on temporal pattern of reservoir water level |
title_short | Forecasting model for the change of reservoir water level stage based on temporal pattern of reservoir water level |
title_sort | forecasting model for the change of reservoir water level stage based on temporal pattern of reservoir water level |
topic | QA75 Electronic computers. Computer science |
url | https://repo.uum.edu.my/id/eprint/15657/1/PID203.pdf |
work_keys_str_mv | AT ashaarynurathirah forecastingmodelforthechangeofreservoirwaterlevelstagebasedontemporalpatternofreservoirwaterlevel AT wanishakwanhussain forecastingmodelforthechangeofreservoirwaterlevelstagebasedontemporalpatternofreservoirwaterlevel AT kumahamudkuruhana forecastingmodelforthechangeofreservoirwaterlevelstagebasedontemporalpatternofreservoirwaterlevel |