Accelerating benders decomposition for short-term hydropower maintenance scheduling
Year of publication: |
2021
|
---|---|
Authors: | Rodríguez, Jesús A. ; Anjos, Miguel F. ; Côté, Pascal ; Desaulniers, Guy |
Published in: |
European journal of operational research : EJOR. - Amsterdam : Elsevier, ISSN 0377-2217, ZDB-ID 243003-4. - Vol. 289.2021, 1 (16.2.), p. 240-253
|
Subject: | (R) Benders decomposition | Stochastic programming | Decomposition methods | Parallel computing | Hydroelectricity | Dekompositionsverfahren | Decomposition method | Theorie | Theory | Mathematische Optimierung | Mathematical programming | Wasserkraft | Hydropower | Instandhaltung | Maintenance policy | Scheduling-Verfahren | Scheduling problem | Stochastischer Prozess | Stochastic process |
-
A planner-trader decomposition for multimarket hydro scheduling
Schindler, Kilian, (2024)
-
Huang, Zhouchun, (2020)
-
Zhong, Zhiming, (2024)
- More ...
-
Optimal Hydropower Generation Under Climate Change Conditions for a Northern Water Resources System
Haguma, Didier, (2014)
-
Stochastic short-term hydropower planning with inflow scenario trees
Séguin, Sara, (2017)
-
Approximate stochastic dynamic programming for hydroelectric production planning
Zéphyr, Luckny, (2017)
- More ...