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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2023
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| author | Basri H. Mohd Sidek L. Abdul Razad A.Z. Mohd Salleh S.R. Kamarulzaman M.S. Pokhrel P. |
| author2 | 57065823300 |
| author_facet | 57065823300 Basri H. Mohd Sidek L. Abdul Razad A.Z. Mohd Salleh S.R. Kamarulzaman M.S. Pokhrel P. |
| 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 | 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. |
| format | Book Chapter |
| id | my.uniten.dspace-25827 |
| institution | Universiti Tenaga Nasional |
| publishDate | 2023 |
| publisher | Springer |
| record_format | dspace |
| 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 |
| 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 |
| title | 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_short | Performance of Operational Inflow Forecasting System for Hydropower Reservoir |
| title_sort | performance of operational inflow forecasting system for hydropower reservoir |
| url_provider | http://dspace.uniten.edu.my/ |