Performance of Operational Inflow Forecasting System for Hydropower Reservoir

The 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. T...

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Main Authors: Basri H., Mohd Sidek L., Abdul Razad A.Z., Mohd Salleh S.R., Kamarulzaman M.S., Pokhrel P.
Other Authors: 57065823300
Format: Book Chapter
Published: Springer 2023
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spelling my.uniten.dspace-258272023-05-29T16:14:55Z Performance of Operational Inflow Forecasting System for Hydropower Reservoir Basri H. Mohd Sidek L. Abdul Razad A.Z. Mohd Salleh S.R. Kamarulzaman M.S. Pokhrel P. 57065823300 35070506500 55812761600 57212461055 57209617607 25959701300 The 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. Final 2023-05-29T08:14:54Z 2023-05-29T08:14:54Z 2020 Book Chapter 10.1007/978-981-15-1971-0_14 2-s2.0-85076743218 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85076743218&doi=10.1007%2f978-981-15-1971-0_14&partnerID=40&md5=776e987cb2f38a0f01396649468fdc4c https://irepository.uniten.edu.my/handle/123456789/25827 140 147 Springer Scopus
institution Universiti Tenaga Nasional
building UNITEN Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Tenaga Nasional
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description The 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.
author2 57065823300
author_facet 57065823300
Basri H.
Mohd Sidek L.
Abdul Razad A.Z.
Mohd Salleh S.R.
Kamarulzaman M.S.
Pokhrel P.
format Book Chapter
author Basri H.
Mohd Sidek L.
Abdul Razad A.Z.
Mohd Salleh S.R.
Kamarulzaman M.S.
Pokhrel P.
spellingShingle Basri H.
Mohd Sidek L.
Abdul Razad A.Z.
Mohd Salleh S.R.
Kamarulzaman M.S.
Pokhrel P.
Performance of Operational Inflow Forecasting System for Hydropower Reservoir
author_sort Basri H.
title Performance of Operational Inflow Forecasting System for Hydropower Reservoir
title_short Performance of Operational Inflow Forecasting System for Hydropower Reservoir
title_full Performance of Operational Inflow Forecasting System for Hydropower Reservoir
title_fullStr Performance of Operational Inflow Forecasting System for Hydropower Reservoir
title_full_unstemmed Performance of Operational Inflow Forecasting System for Hydropower Reservoir
title_sort performance of operational inflow forecasting system for hydropower reservoir
publisher Springer
publishDate 2023
_version_ 1806425702687309824
score 13.222552