Developing NARX Neural Networks for Accurate Water Level Forecasting
A reliable model for predicting fluctuations in water levels in the reservoir is essential for effective planning to manage the potential risks of flooding. A nonlinear autoregressive network with exogenous inputs (NARX) model is proposed to predict the water level of the Temengor Reservoir, Perak i...
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Springer Science and Business Media Deutschland GmbH
2024
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| _version_ | 1833412106142089216 |
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| author | Basri H. Razak M.A. Sidek L.M. |
| author2 | 57065823300 |
| author_facet | 57065823300 Basri H. Razak M.A. Sidek L.M. |
| author_sort | Basri H. |
| building | UNITEN Library |
| collection | Institutional Repository |
| content_provider | Universiti Tenaga Nasional |
| content_source | UNITEN Institutional Repository |
| continent | Asia |
| country | Malaysia |
| description | A reliable model for predicting fluctuations in water levels in the reservoir is essential for effective planning to manage the potential risks of flooding. A nonlinear autoregressive network with exogenous inputs (NARX) model is proposed to predict the water level of the Temengor Reservoir, Perak in Malaysia. The hyper-parameters of the proposed model have been optimized to enhance the accuracy of the proposed model while the Levenberg-Marquardt method was used to train the model. The NARX algorithm is capable of accurately predicting water levels with a high degree of accuracy. The use of the such technique for water level monitoring can be beneficial in the design of mitigation strategies for future flooding events, as it provides a critical parameter for gauging the potential severity of a flooding event. By understanding the changes in water level, emergency management teams can better prepare for and respond to floods, helping to minimize the damage and destruction they can cause. � The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2023. |
| format | Book chapter |
| id | my.uniten.dspace-34376 |
| institution | Universiti Tenaga Nasional |
| publishDate | 2024 |
| publisher | Springer Science and Business Media Deutschland GmbH |
| record_format | dspace |
| spelling | my.uniten.dspace-343762024-10-14T11:19:22Z Developing NARX Neural Networks for Accurate Water Level Forecasting Basri H. Razak M.A. Sidek L.M. 57065823300 58905982400 35070506500 Dam safety Hydropower NARX Temengor reservoir Water level A reliable model for predicting fluctuations in water levels in the reservoir is essential for effective planning to manage the potential risks of flooding. A nonlinear autoregressive network with exogenous inputs (NARX) model is proposed to predict the water level of the Temengor Reservoir, Perak in Malaysia. The hyper-parameters of the proposed model have been optimized to enhance the accuracy of the proposed model while the Levenberg-Marquardt method was used to train the model. The NARX algorithm is capable of accurately predicting water levels with a high degree of accuracy. The use of the such technique for water level monitoring can be beneficial in the design of mitigation strategies for future flooding events, as it provides a critical parameter for gauging the potential severity of a flooding event. By understanding the changes in water level, emergency management teams can better prepare for and respond to floods, helping to minimize the damage and destruction they can cause. � The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2023. Final 2024-10-14T03:19:22Z 2024-10-14T03:19:22Z 2023 Book chapter 10.1007/978-981-99-3708-0_59 2-s2.0-85185944906 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85185944906&doi=10.1007%2f978-981-99-3708-0_59&partnerID=40&md5=6c93a58a3bd557e75f38db78a2181b21 https://irepository.uniten.edu.my/handle/123456789/34376 Part F2265 847 853 Springer Science and Business Media Deutschland GmbH Scopus |
| spellingShingle | Dam safety Hydropower NARX Temengor reservoir Water level Basri H. Razak M.A. Sidek L.M. Developing NARX Neural Networks for Accurate Water Level Forecasting |
| title | Developing NARX Neural Networks for Accurate Water Level Forecasting |
| title_full | Developing NARX Neural Networks for Accurate Water Level Forecasting |
| title_fullStr | Developing NARX Neural Networks for Accurate Water Level Forecasting |
| title_full_unstemmed | Developing NARX Neural Networks for Accurate Water Level Forecasting |
| title_short | Developing NARX Neural Networks for Accurate Water Level Forecasting |
| title_sort | developing narx neural networks for accurate water level forecasting |
| topic | Dam safety Hydropower NARX Temengor reservoir Water level |
| url_provider | http://dspace.uniten.edu.my/ |