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Performance of Operational Inflow Forecasting System for Hydropower Reservoir

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dc.contributor.authorBasri H.en_US
dc.contributor.authorMohd Sidek L.en_US
dc.contributor.authorAbdul Razad A.Z.en_US
dc.contributor.authorMohd Salleh S.R.en_US
dc.contributor.authorKamarulzaman M.S.en_US
dc.contributor.authorPokhrel P.en_US
dc.contributor.authorid57065823300en_US
dc.contributor.authorid35070506500en_US
dc.contributor.authorid55812761600en_US
dc.contributor.authorid57212461055en_US
dc.contributor.authorid57209617607en_US
dc.contributor.authorid25959701300en_US
dc.date.accessioned2023-05-29T08:14:54Z
dc.date.available2023-05-29T08:14:54Z
dc.date.issued2020
dc.description.abstractThe inflow forecasting system is an essential tool to assist dam owners in decision making and planning. Effective and optimized hydropower reservoir operation, monitor and forecast inflows and lake level to provide benefits in maximizing energy revenue, while taking into account dam safety risks. The Temengor Inflow Forecasting System for Temengor dam was developed in a robust system that runs on a real-time modeling platform. Reservoir inflow forecast results must be able to provide a timely and accurate forecast for appropriate reservoir management. Thus, it is essential to monitor the performance of the forecasting system to ensure the developed system is performing to its maximum potential. This paper discussed the performance of the Temengor inflow forecasting system. In general, the comparison of forecast model results with observed data shows that the model is able to provide good forecast accuracy. Continuous model performance monitoring enables reliable forecast results, which can be used for future resource availability for hydropower generation and advance warning of water-related disasters such as a flood. � 2020, Springer Nature Singapore Pte Ltd.en_US
dc.description.natureFinalen_US
dc.identifier.doi10.1007/978-981-15-1971-0_14
dc.identifier.epage147
dc.identifier.scopus2-s2.0-85076743218
dc.identifier.spage140
dc.identifier.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-85076743218&doi=10.1007%2f978-981-15-1971-0_14&partnerID=40&md5=776e987cb2f38a0f01396649468fdc4c
dc.identifier.urihttps://irepository.uniten.edu.my/handle/123456789/25827
dc.publisherSpringeren_US
dc.sourceScopus
dc.sourcetitleWater Resources Development and Management
dc.titlePerformance of Operational Inflow Forecasting System for Hydropower Reservoiren_US
dc.typeBook Chapteren_US
dspace.entity.typePublication
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