New bounding and decomposition approaches for MILP investment problems: multi-area transmission and generation planning under policy constraints
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Publication:320803
DOI10.1016/j.ejor.2015.07.057zbMath1346.90630OpenAlexW1144592954MaRDI QIDQ320803
Jean-Paul Watson, Benjamin F. Hobbs, Francisco D. Munoz
Publication date: 7 October 2016
Published in: European Journal of Operational Research (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/j.ejor.2015.07.057
Mixed integer programming (90C11) Stochastic programming (90C15) Deterministic network models in operations research (90B10) Case-oriented studies in operations research (90B90)
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Cites Work
- Unnamed Item
- Estimating the Number of Clusters in a Data Set Via the Gap Statistic
- A Benders decomposition based heuristic for the hierarchical production planning problem
- Large-scale mixed integer programming: Benders-type heuristics
- A multicut algorithm for two-stage stochastic linear programs
- Monte Carlo (importance) sampling within a Benders decomposition algorithm for stochastic linear programs
- On using approximations of the Benders master problem
- Optimization methods for electric utility resource planning
- Generalized Benders decomposition
- Inequalities for Stochastic Linear Programming Problems
- Multiarea Stochastic Unit Commitment for High Wind Penetration in a Transmission Constrained Network
- The National Energy Modeling System: A Large-Scale Energy-Economic Equilibrium Model
- An Integer Programming Approach and Implementation for an Electric Utility Capacity Planning Problem with Renewable Energy Sources
- A Sequential Procedure for Determining the Length of a Steady-State Simulation
- Accelerating Benders Decomposition: Algorithmic Enhancement and Model Selection Criteria
- Batch Size Effects in the Analysis of Simulation Output
- Solving an Electricity Generating Capacity Expansion Planning Problem by Generalized Benders' Decomposition
- Stochastic Decomposition: An Algorithm for Two-Stage Linear Programs with Recourse
- Multicommodity Distribution System Design by Benders Decomposition
- Bounds on the Expectation of a Convex Function of a Random Variable: With Applications to Stochastic Programming
- A Modified Benders' Partitioning Algorithm for Mixed Integer Programming
- Introduction to Stochastic Programming
- Stochastic Programming-Based Bounding of Expected Production Costs for Multiarea Electric Power System
- Cross decomposition for mixed integer programming
- Regulation by Simulation: The Role of Production Cost Models in Electricity Planning and Pricing
- A Two-Phase Decomposition Approach for Electric Utility Capacity Expansion Planning Including Nondispatchable Technologies
- Pyomo -- optimization modeling in Python
- Long-Range Generation Planning Using Generalized Benders' Decomposition: Implementation and Experience
