Quantifying the impact of scenario tree generation and reduction methods on the solution of the short-term hydroscheduling problem

Maissa Daadaa, Sara Séguin, Miguel F. Anjos and Kenjy Demeester

Article (2023)

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Department:	Department of Mathematics and Industrial Engineering
PolyPublie URL:	https://publications.polymtl.ca/64337/
Journal Title:	Energy Systems
Publisher:	Springer Science+Business Media
DOI:	10.1007/s12667-023-00623-x
Official URL:	https://doi.org/10.1007/s12667-023-00623-x
Date Deposited:	26 Mar 2025 13:50
Last Modified:	26 Mar 2025 13:50

Cite in APA 7:	Daadaa, M., Séguin, S., Anjos, M. F., & Demeester, K. (2023). Quantifying the impact of scenario tree generation and reduction methods on the solution of the short-term hydroscheduling problem. Energy Systems, 30 pages. https://doi.org/10.1007/s12667-023-00623-x
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