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European Journal of Operational Research
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European Journal of Operational Research
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https://dx.doi.org/10.1016/j.e...
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Approximate stochastic dynamic programming for hydroelectric production planning

descriptionPublicationkeyboard_double_arrow_right Article 01 Oct 2017 English Publisher:Elsevier BVJournal:European Journal of Operational Research, volume 262, pages 586-601 (issn: 0377-2217, Copyright policy )Funded by:NSERC | unidentified
Authors: Luckny Zéphyr; Pascal Lang; Bernard F. Lamond; Pascal Côté;

doi: 10.1016/j.ejor.2017.03.050

Approximate stochastic dynamic programming for hydroelectric production planning

Abstract

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Keywords

dynamic programming, value function, Applications of mathematical programming, simplicial state space partitioning, Stochastic programming, Production models, Dynamic programming, curse of dimensionality, dynamic decision process

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    		 16
    popularity
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    		 Top 10%
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
16
Top 10%
Average
Top 10%
bronze
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