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Chance Constrained Programming and Its Applications to Energy Management

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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

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Second‐Order Cone Programming
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Probabilistic Programming
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Programming Under Probabilistic Constraint with Discrete Random Variable
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Computation of Multivariate Normal and t Probabilities
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Stochastic Programming
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Three digit accurate multiple normal probabilities
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Derivatives of probability functions and some applications
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An approach to variable metric bundle methods
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On probabilistic constraints induced by rectangular sets and multivariate normal distributions
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Probabilistic programming with discrete distributions and precedence constrained knapsack polyhedra
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Lipschitz and differentiability properties of quasi-concave and singular normal distribution functions
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Convexity of chance constraints with independent random variables
inferredcites →https://doi.org/10.1007/s11081-010-9113-3openalex-snapshot
Optimizing financial and physical assets with chance-constrained programming in the electrical industry
inferredcites →https://doi.org/10.1007/s11081-013-9236-4openalex-snapshot
Joint chance constrained programming for hydro reservoir management
inferredcites →https://doi.org/10.1016/j.orl.2008.03.006openalex-snapshot
A robust approach to the chance-constrained knapsack problem
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Applications of second-order cone programming
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Stochastic Programming Models
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Stochastic Programming
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Introduction to Stochastic Programming
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Numerical evaluation of singular multivariate normal distributions
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Structural properties of linear probabilistic constraints
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A branch and bound method for stochastic integer problems under probabilistic constraints
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Probability bounds given by hypercherry trees
inferredcites →https://doi.org/10.1080/10618600.1992.10477010openalex-snapshot
Numerical Computation of Multivariate Normal Probabilities
inferredcites →https://doi.org/10.1109/pmaps.2010.5528322openalex-snapshot
Uncertainties on Power Systems. Probabilistic approach and conic approximation
inferredcites →https://doi.org/10.1109/tpwrs.2009.2016586openalex-snapshot
Supply Shortage Hedging: Estimating the Electrical Power Margin for Optimizing Financial and Physical Assets With Chance-Constrained Programming
inferredcites →https://doi.org/10.1109/tpwrs.2010.2089539openalex-snapshot
Dynamic Constraints for Aggregated Units: Formulation and Application
inferredcites →https://doi.org/10.1137/070702928openalex-snapshot
A Sample Approximation Approach for Optimization with Probabilistic Constraints
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Lectures on Stochastic Programming
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Probabilistically Constrained Linear Programs and Risk-Adjusted Controller Design
inferredcites →https://doi.org/10.1287/mnsc.9.3.405openalex-snapshot
Minimum-Cost Cattle Feed Under Probabilistic Protein Constraints
inferredcites →https://doi.org/10.18452/2954openalex-snapshot
Polyhedral inclusion-exclusion
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Estimation method of multivariate exponential probabilities based on a simplex coordinates transform
inferredcites →https://doi.org/10.2307/1910956openalex-snapshot
A Stochastic Programming Model
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Probability Inequalities for Sums of Bounded Random Variables
inferredcites →https://doi.org/10.5772/623openalex-snapshot
Stochastic Optimization - Seeing the Optimal for the Uncertain

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

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Distributionally robust chance‐constrained optimization with Sinkhorn ambiguity set
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Reformulation Techniques for Chance-Constrained Combinatorial Optimization Problems
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Divide to conquer: decomposition methods for energy optimization
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Relaxations and approximations of chance constraints under finite distributions
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Large-scale Unit Commitment under uncertainty
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Large-scale unit commitment under uncertainty: an updated literature survey
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Investments in Power Generation Under Uncertainty—a MIP Specification and Large-Scale Application for EU
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Adaptive sampling immune algorithm solving joint chance-constrained programming
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Chance-constrained programming
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Pareto optimality in cost and service quality for an Electric Vehicle charging facility
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Kernel distributionally robust chance-constrained process optimization
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Proactive management of distribution grids with chance-constrained linearized AC OPF
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Groundwater management under uncertainty using a stochastic multi-cell model
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A recurrent neural network-based approach for joint chance constrained stochastic optimal control
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HADA: An automated tool for hardware dimensioning of AI applications
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Chance-constrained CAES and DRP scheduling to maximize wind power harvesting in congested transmission systems considering operational flexibility
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Difference-of-Convex Approach to Chance-Constrained Optimal Power Flow Modelling the Dso Power Modulation Lever for Distribution Networks
inferred← citeshttps://doi.org/10.1108/ec-09-2022-0582openalex-snapshot
A case-oriented computational study for sustainable fleet planning in a battery closed-loop supply chain network under uncertainty
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Scheduling of Energy Hub Resources Using Robust Chance-Constrained Optimization
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Probabilistic Task Assignment in Edge Computing
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Unifying Chance-Constrained and Robust Optimal Power Flow for Resilient Network Operations
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Optimal Operation of Energy Hubs Considering Uncertainties and Different Time Resolutions
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Gene modification identification under flux capacity uncertainty
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Stochastic Optimal Selection and Analysis of Allowable Photovoltaic Penetration Level for Grid-Connected Systems Using a Hybrid NSGAII-MOPSO and Monte Carlo Method
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Probabilistic strain optimization under constraint uncertainty
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Pharmaceutical portfolio optimization under cost uncertainty via chance constrained-type method
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Flow Balancing with Uncertain Demand for Automated Package Sorting Centers
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A Column Generation Approach to Correlated Simple Temporal Networks
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Stochastic Optimal Harmonic Suppression with Permissible Photovoltaic Penetration Level for Grid-Linked Systems using Monte Carlo-Based Hybrid NSGA2-MOPSO
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A Probabilistically Constrained Approach for the Energy Procurement Problem
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Probabilistic Optimization Techniques in Smart Power System
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On the Convexity of Level-Sets of Probability Functions
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