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~person:"Séguin, Sara"
~subject:"Mathematische Optimierung"
~subject:"Projektmanagement"
~type_genre:"Working Paper"
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Mathematische Optimierung
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Hydropower
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Hydropower plant
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Mathematical programming
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Scheduling problem
3
Scheduling-Verfahren
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Theorie
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Theory
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Wasserkraft
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Wasserkraftwerk
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stochastic programming
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Artificial intelligence
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Deep Neural Networks
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Heuristics
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Hydropower scheduling
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Hydropower scheduling problem
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Instandhaltung
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Künstliche Intelligenz
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Learning process
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Lernprozess
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Maintenance policy
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Neural networks
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Neuronale Netze
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Production planning
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Produktionsplanung
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Stochastic process
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Stochastischer Prozess
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blackbox optimization
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heuristic
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hydropower production functions
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hydropower scheduling
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linear regression
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machine learning
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maintenance scheduling problem
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mixed integer linear programming
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mixed-integer linear programming
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optimization
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random forest
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Séguin, Sara
Drexl, Andreas
18
Vanhoucke, Mario
16
Demeulemeester, Erik
13
Hartmann, Sönke
12
Schirmer, Andreas
12
Leus, Roel
10
Sprecher, Arno
10
Kimms, Alf
8
Herroelen, Willy S.
7
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Kolisch, Rainer
6
Catanzaro, Daniele
5
Pesenti, Raffaele
5
Debels, Dieter
4
Frohn, Martin
4
Van Peteghem, Vincent
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Anjos, Miguel F.
3
Briskorn, Dirk
3
Helber, Stefan
3
Jörnsten, Kurt O.
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Kellenbrink, Carolin
3
Qiu, Dishan
3
Riesenberg, Sven
3
Salewski, Frank
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Spieksma, Frits C. R.
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Wang, Jianjiang
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Akkan, Can
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Böttcher, Jan
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Crainic, Teodor Gabriel
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Creemers, S.
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Davari, M.
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Dayal, Madhukar
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De Reyck, Bert
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Demeester, Kenjy
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Dimitrakopoulos, Roussos
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Gascuel, Olivier
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Gendreau, Michel
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ECONIS (ZBW)
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Optimizing strategies for short-term hydropower scheduling using a blackbox optimization framework
Daadaa, Maissa
;
Séguin, Sara
;
Anjos, Miguel F.
; …
-
2023
Persistent link: https://www.econbiz.de/10014336396
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2
A fast solution approach to solve the generator maintenance scheduling and hydropower production problems simultaneously
Glangine, Geoffrey
;
Séguin, Sara
;
Demeester, Kenjy
-
2022
Persistent link: https://www.econbiz.de/10013179413
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3
A survey on AI-based scheduling models, optimization and prediction for hydropower generation : variants, challenges, and future directions
Villeneuve, Yoan
;
Séguin, Sara
;
Chehri, Abdellah
-
2022
Persistent link: https://www.econbiz.de/10013502350
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