Stochastic dual dynamic programming applied to nonconvex hydrothermal models
DOI10.1016/j.ejor.2011.11.040zbMath1244.90173OpenAlexW1986458792MaRDI QIDQ439570
Andres Ramos, Santiago Cerisola, Jesus M. Latorre
Publication date: 16 August 2012
Published in: European Journal of Operational Research (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/j.ejor.2011.11.040
stochastic programminginteger programmingLagrangean relaxationproduction planningBenders decompositionstochastic dual dynamic programmingscheduling planning
Stochastic programming (90C15) Case-oriented studies in operations research (90B90) Dynamic programming (90C39) Environmental economics (natural resource models, harvesting, pollution, etc.) (91B76)
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- Solving the unit commitment problem of hydropower plants via Lagrangian relaxation and sequential quadratic programming
- About Lagrangian methods in integer optimization
- An exact reformulation algorithm for large nonconvex nLPs involving bilinear terms
- Clustering algorithms for scenario tree generation: application to natural hydro inflows
- The radar method: An effective line search for piecewise linear concave functions
- Partitioning procedures for solving mixed-variables programming problems
- Multi-stage stochastic optimization applied to energy planning
- The empirical behavior of sampling methods for stochastic programming
- Generalized Benders decomposition
- Stopping Rules for a Class of Sampling-Based Stochastic Programming Algorithms
- A transformation for necessary optimality conditions for systems with polynomial nonlinearities
- Computability of global solutions to factorable nonconvex programs: Part I — Convex underestimating problems
- Monte Carlo sampling approach to stochastic programming
- Dual Applications of Proximal Bundle Methods, Including Lagrangian Relaxation of Nonconvex Problems
- Stochastic Power Generation Unit Commitment in Electricity Markets: A Novel Formulation and a Comparison of Solution Methods
- L-Shaped Linear Programs with Applications to Optimal Control and Stochastic Programming
- The omnipresence of Lagrange
- Stochastic Lagrangian relaxation applied to power scheduling in a hydro-thermal system under uncertainty
- A geometric study of dual gaps, with applications
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