Publication:
Developing NARX Neural Networks for Accurate Water Level Forecasting

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dc.citedby0
dc.contributor.authorBasri H.en_US
dc.contributor.authorRazak M.A.en_US
dc.contributor.authorSidek L.M.en_US
dc.contributor.authorid57065823300en_US
dc.contributor.authorid58905982400en_US
dc.contributor.authorid35070506500en_US
dc.date.accessioned2024-10-14T03:19:22Z
dc.date.available2024-10-14T03:19:22Z
dc.date.issued2023
dc.description.abstractA 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.en_US
dc.description.natureFinalen_US
dc.identifier.doi10.1007/978-981-99-3708-0_59
dc.identifier.epage853
dc.identifier.scopus2-s2.0-85185944906
dc.identifier.spage847
dc.identifier.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-85185944906&doi=10.1007%2f978-981-99-3708-0_59&partnerID=40&md5=6c93a58a3bd557e75f38db78a2181b21
dc.identifier.urihttps://irepository.uniten.edu.my/handle/123456789/34376
dc.identifier.volumePart F2265
dc.pagecount6
dc.publisherSpringer Science and Business Media Deutschland GmbHen_US
dc.sourceScopus
dc.sourcetitleWater Resources Development and Management
dc.subjectDam safety
dc.subjectHydropower
dc.subjectNARX
dc.subjectTemengor reservoir
dc.subjectWater level
dc.titleDeveloping NARX Neural Networks for Accurate Water Level Forecastingen_US
dc.typeBook chapteren_US
dspace.entity.typePublication
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