A combined SDDP/Benders decomposition approach with a risk-averse surface concept for reservoir operation in long term power generation planning
type: Item
instance of: scholarly article
title: A combined SDDP/Benders decomposition approach with a risk-averse surface concept for reservoir operation in long term power generation planning
zbMATH Open document ID: 1456.90111
author: Andre Luiz Diniz
author: Maria Elvira P. Maceira
author: Cesar Luis V. Vasconcellos
author: Debora Dias J. Penna
published in: Annals of Operations Research
publication date: 2021-01-06T00:00:00Z
Mathematics Subject Classification ID: 90C15
Mathematics Subject Classification ID: 90C39
Mathematics Subject Classification ID: 90C90
zbMATH DE Number: 7290754
zbMATH Keywords: OR in energy
zbMATH Keywords: power generation planning
zbMATH Keywords: stochastic dual dynamic programming
zbMATH Keywords: Benders decomposition
zbMATH Keywords: large-scale linear programming
zbMATH Keywords: risk aversion
describes a project that uses: EVPI
describes a project that uses: DDSIP
MaRDI profile type: Publication
full work available at URL: s10479-019-03419-4
OpenAlex ID: W2981453040
cites work: A model for dynamic chance constraints in hydro power reservoir management
cites work: Q3292915
cites work: Partitioning procedures for solving mixed-variables programming problems
cites work: Decomposition and Partitioning Methods for Multistage Stochastic Linear Programs
cites work: Dynamic consistency for stochastic optimal control problems
cites work: Convergent cutting-plane and partial-sampling algorithm for multistage stochastic linear programs with recourse
cites work: Scenario decomposition of risk-averse multistage stochastic programming problems
cites work: Assessing policy quality in a multistage stochastic program for long-term hydrothermal scheduling
cites work: Risk aversion in multistage stochastic programming: a modeling and algorithmic perspective
cites work: EVPI-based importance sampling solution procedures for multistage stochastic linear programmes on parallel MIMD architectures
cites work: Optimization with Stochastic Dominance Constraints
cites work: Q3415352
cites work: On the time-consistent stochastic dominance risk averse measure for tactical supply chain planning under uncertainty
cites work: Scenario cluster Lagrangean decomposition for risk averse in multistage stochastic optimization
cites work: A note on second-order stochastic dominance constraints induced by mixed-integer linear recourse
cites work: Stochastic Programs with First-Order Dominance Constraints Induced by Mixed-Integer Linear Recourse
cites work: Risk-averse feasible policies for large-scale multistage stochastic linear programs
cites work: Cut sharing for multistage stochastic linear programs with interstage dependency
cites work: Evaluating policies in risk-averse multi-stage stochastic programming
cites work: Analysis of stochastic problem decomposition algorithms in computational grids
cites work: Spatio-temporal hydro forecasting of multireservoir inflows for hydro-thermal scheduling
cites work: An enhanced decomposition algorithm for multistage stochastic hydroelectric scheduling
cites work: Comparison methods for stochastic models and risks
cites work: Multi-stage stochastic optimization applied to energy planning
cites work: Time-consistent decisions and temporal decomposition of coherent risk functionals
cites work: Dynamic sampling algorithms for multi-stage stochastic programs with risk aversion
cites work: On Solving Multistage Stochastic Programs with Coherent Risk Measures
cites work: Multivariate value at risk and related topics
cites work: Stochastic inflow modeling for hydropower scheduling problems
cites work: Time consistency and risk averse dynamic decision models: definition, interpretation and practical consequences
cites work: Risk-averse dynamic programming for Markov decision processes
cites work: On a time consistency concept in risk averse multistage stochastic programming
cites work: Analysis of stochastic dual dynamic programming method
cites work: Risk neutral and risk averse stochastic dual dynamic programming method
cites work: GDDP: Generalized dual dynamic programming theory
cites work: Stochastic dual dynamic integer programming
DOI: 10.1007/S10479-019-03419-4
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description: scientific article; zbMATH DE number 7290754