Reservoir operations under uncertainty with moving-horizon approach and ensemble forecast optimization

Author:

Becker Bernhard12ORCID,Kim Jiyoung3,Pummer Elena4ORCID

Affiliation:

1. Deltares, Delft, The Netherlands

2. Institute of Hydraulic Engineering and Water Resources Management, RWTH Aachen University, Aachen, Germany

3. Formerly Department of Civil and Environmental Engineering, Norwegian University of Science and Technology (NTNU), Trondheim, Norway

4. Department of Civil and Environmental Engineering, Norwegian University of Science and Technology (NTNU), Trondheim, Norway

Publisher

Informa UK Limited

Subject

Water Science and Technology

Reference37 articles.

1. Aasgård EK. 2019. Stochastic programming for short-term hydropower scheduling and bidding [dissertation]. Norwegian University of Science and Technology (NTNU).

2. Optimizing day-ahead bid curves in hydropower production

3. Becker B Domhof B van Heeringen KJ Talsma J Knot F Schenkel J. 2021. Vorhersage- und modellbasierter Betrieb von küstennahen Schöpfwerken in den Niederlanden. In: Wasserbau zwischen Hochwasser und Wassermangel – Hydraulic Engineering between Floods and Water Scarcity; (Wasserbauliche Mitteilungen; Vol. 65); Dresden. Selbstverlag der Technischen Universität Dresden. p. 67–76.

4. A comparison of the homotopy method with linearisation approaches for a non-linear optimization problem of operations in a reservoir cascade

5. Clement M, Zagona E. 2020. Complex hydro-policy modeling with riverware for collaborative multi-objective river system and hydropower planning and operationsInternational Congress on Environmental Modelling and Software. Brussels, Belgium. https://scholarsarchive.byu.edu/cgi/viewcontent.cgi?article=4549&context=iemssconference.

Cited by 2 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Correction;Journal of Applied Water Engineering and Research;2024-08-27

2. Optimization methods in water system operation;WIREs Water;2024-08-24

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