Performance of Operational Inflow Forecasting System for Hydropower Reservoir

Hidayah Basri, Lariyah Mohd Sidek, A. Z. Abdul Razad, S. R. Mohd Salleh, M. S. Kamarulzaman, P. Pokhrel

Research output: Chapter in Book/Report/Conference proceedingChapter

Abstract

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.

Original languageEnglish
Title of host publicationWater Resources Development and Management
PublisherSpringer
Pages140-147
Number of pages8
DOIs
Publication statusPublished - 01 Jan 2020

Publication series

NameWater Resources Development and Management
ISSN (Print)1614-810X
ISSN (Electronic)2198-316X

Fingerprint

inflow
Dams
dam
Reservoir management
Disasters
Lakes
Decision making
Availability
resource availability
lake level
Planning
forecast
Monitoring
disaster
decision making
safety
Water
monitoring
modeling
energy

All Science Journal Classification (ASJC) codes

  • Management, Monitoring, Policy and Law
  • Water Science and Technology
  • Environmental Engineering
  • Renewable Energy, Sustainability and the Environment

Cite this

Basri, H., Mohd Sidek, L., Abdul Razad, A. Z., Mohd Salleh, S. R., Kamarulzaman, M. S., & Pokhrel, P. (2020). Performance of Operational Inflow Forecasting System for Hydropower Reservoir. In Water Resources Development and Management (pp. 140-147). (Water Resources Development and Management). Springer. https://doi.org/10.1007/978-981-15-1971-0_14
Basri, Hidayah ; Mohd Sidek, Lariyah ; Abdul Razad, A. Z. ; Mohd Salleh, S. R. ; Kamarulzaman, M. S. ; Pokhrel, P. / Performance of Operational Inflow Forecasting System for Hydropower Reservoir. Water Resources Development and Management. Springer, 2020. pp. 140-147 (Water Resources Development and Management).
@inbook{43757659f19f44a1b746681f5c1cc8cc,
title = "Performance of Operational Inflow Forecasting System for Hydropower Reservoir",
abstract = "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.",
author = "Hidayah Basri and {Mohd Sidek}, Lariyah and {Abdul Razad}, {A. Z.} and {Mohd Salleh}, {S. R.} and Kamarulzaman, {M. S.} and P. Pokhrel",
year = "2020",
month = "1",
day = "1",
doi = "10.1007/978-981-15-1971-0_14",
language = "English",
series = "Water Resources Development and Management",
publisher = "Springer",
pages = "140--147",
booktitle = "Water Resources Development and Management",

}

Basri, H, Mohd Sidek, L, Abdul Razad, AZ, Mohd Salleh, SR, Kamarulzaman, MS & Pokhrel, P 2020, Performance of Operational Inflow Forecasting System for Hydropower Reservoir. in Water Resources Development and Management. Water Resources Development and Management, Springer, pp. 140-147. https://doi.org/10.1007/978-981-15-1971-0_14

Performance of Operational Inflow Forecasting System for Hydropower Reservoir. / Basri, Hidayah; Mohd Sidek, Lariyah; Abdul Razad, A. Z.; Mohd Salleh, S. R.; Kamarulzaman, M. S.; Pokhrel, P.

Water Resources Development and Management. Springer, 2020. p. 140-147 (Water Resources Development and Management).

Research output: Chapter in Book/Report/Conference proceedingChapter

TY - CHAP

T1 - Performance of Operational Inflow Forecasting System for Hydropower Reservoir

AU - Basri, Hidayah

AU - Mohd Sidek, Lariyah

AU - Abdul Razad, A. Z.

AU - Mohd Salleh, S. R.

AU - Kamarulzaman, M. S.

AU - Pokhrel, P.

PY - 2020/1/1

Y1 - 2020/1/1

N2 - 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.

AB - 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.

UR - http://www.scopus.com/inward/record.url?scp=85076743218&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=85076743218&partnerID=8YFLogxK

U2 - 10.1007/978-981-15-1971-0_14

DO - 10.1007/978-981-15-1971-0_14

M3 - Chapter

AN - SCOPUS:85076743218

T3 - Water Resources Development and Management

SP - 140

EP - 147

BT - Water Resources Development and Management

PB - Springer

ER -

Basri H, Mohd Sidek L, Abdul Razad AZ, Mohd Salleh SR, Kamarulzaman MS, Pokhrel P. Performance of Operational Inflow Forecasting System for Hydropower Reservoir. In Water Resources Development and Management. Springer. 2020. p. 140-147. (Water Resources Development and Management). https://doi.org/10.1007/978-981-15-1971-0_14