Forecasting reservoir water level based on the change in rainfall pattern using neural network

Reservoir water level is a level of storage space for water.During heavy rainfall, waterstorage space is used to hold excessive amount of water. During less rainfall, water storage maintains the water supply for its major uses.The change in rainfall pattern may influence the water storage. Thus, und...

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Main Authors: Raja Mohamad, Raja Nurul Mardhiah, Wan Ishak, Wan Hussain
Format: Conference or Workshop Item
Language:English
Published: 2018
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Online Access:http://repo.uum.edu.my/24238/1/p372.pdf
http://repo.uum.edu.my/24238/
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spelling my.uum.repo.242382018-06-04T01:11:06Z http://repo.uum.edu.my/24238/ Forecasting reservoir water level based on the change in rainfall pattern using neural network Raja Mohamad, Raja Nurul Mardhiah Wan Ishak, Wan Hussain QA76 Computer software Reservoir water level is a level of storage space for water.During heavy rainfall, waterstorage space is used to hold excessive amount of water. During less rainfall, water storage maintains the water supply for its major uses.The change in rainfall pattern may influence the water storage. Thus, understanding the change in rainfall pattern can be used in gate opening decision.On top of that, the upstream precipitation is always not coincide with the consequences and the flood downstream usually cause expensive damages and great devastation as well.This study focus on the analysis of the upstream rainfall data in order to obtain the rainfall pattern.This study deployed basic steps in Artificial Neural Network (ANN) modeling which are data selection, data preparation, data pre-processing and finally Neural Network model development and evaluation. The performance of ANN was based on MAE (mean absolute error) and RMSE (root mean square error). In this study, three datasets have been formed that represent the change in upstream rainfall pattern. The findings show that the best RMSE achieve is 0.644 from the third dataset. 2018-02-26 Conference or Workshop Item NonPeerReviewed application/pdf en http://repo.uum.edu.my/24238/1/p372.pdf Raja Mohamad, Raja Nurul Mardhiah and Wan Ishak, Wan Hussain (2018) Forecasting reservoir water level based on the change in rainfall pattern using neural network. In: 2nd Conference on Technology & Operations Management (2ndCTOM), February 26-27, 2018, Universiti Utara Malaysia, Kedah, Malaysia. (Unpublished)
institution Universiti Utara Malaysia
building UUM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Utara Malaysia
content_source UUM Institutionali Repository
url_provider http://repo.uum.edu.my/
language English
topic QA76 Computer software
spellingShingle QA76 Computer software
Raja Mohamad, Raja Nurul Mardhiah
Wan Ishak, Wan Hussain
Forecasting reservoir water level based on the change in rainfall pattern using neural network
description Reservoir water level is a level of storage space for water.During heavy rainfall, waterstorage space is used to hold excessive amount of water. During less rainfall, water storage maintains the water supply for its major uses.The change in rainfall pattern may influence the water storage. Thus, understanding the change in rainfall pattern can be used in gate opening decision.On top of that, the upstream precipitation is always not coincide with the consequences and the flood downstream usually cause expensive damages and great devastation as well.This study focus on the analysis of the upstream rainfall data in order to obtain the rainfall pattern.This study deployed basic steps in Artificial Neural Network (ANN) modeling which are data selection, data preparation, data pre-processing and finally Neural Network model development and evaluation. The performance of ANN was based on MAE (mean absolute error) and RMSE (root mean square error). In this study, three datasets have been formed that represent the change in upstream rainfall pattern. The findings show that the best RMSE achieve is 0.644 from the third dataset.
format Conference or Workshop Item
author Raja Mohamad, Raja Nurul Mardhiah
Wan Ishak, Wan Hussain
author_facet Raja Mohamad, Raja Nurul Mardhiah
Wan Ishak, Wan Hussain
author_sort Raja Mohamad, Raja Nurul Mardhiah
title Forecasting reservoir water level based on the change in rainfall pattern using neural network
title_short Forecasting reservoir water level based on the change in rainfall pattern using neural network
title_full Forecasting reservoir water level based on the change in rainfall pattern using neural network
title_fullStr Forecasting reservoir water level based on the change in rainfall pattern using neural network
title_full_unstemmed Forecasting reservoir water level based on the change in rainfall pattern using neural network
title_sort forecasting reservoir water level based on the change in rainfall pattern using neural network
publishDate 2018
url http://repo.uum.edu.my/24238/1/p372.pdf
http://repo.uum.edu.my/24238/
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score 13.209306