Robust Optimization vs. Stochastic Programming Incorporating Risk Measures for Unit Commitment With Uncertain Variable Renewable Generation

Energy Systems- Germany

doi 10.1007/s12667-017-0265-5

Full Text

Abstract

Available in

Date

Authors

Publisher

Springer Science and Business Media LLC

Related search

A Literature Review of Stochastic Programming and Unit Commitment

Journal of Power and Energy Engineering
2015English

Robust Multicriteria Risk-Averse Stochastic Programming Models

Annals of Operations Research
Management ScienceDecision SciencesOperations Research
2017English

Contextual Learning for Unit Commitment With Renewable Energy Sources

2016English

Unit Commitment Based on Risk Assessment to Systems With Variable Power Sources

2016English

A Scenario Decomposition Algorithm for Stochastic Programming Problems With a Class of Downside Risk Measures

INFORMS Journal on Computing
Management ScienceComputer Science ApplicationsInformation SystemsOperations ResearchSoftware
2015English

Multi-Objective Unit Commitment With Renewable Energy Using GSA Algorithm

INAE Letters
2016English

Robust Solutions of Linear Programming Problems Contaminated With Uncertain Data

Mathematical Programming, Series B
MathematicsSoftware
2000English

Toward Scalable, Parallel Progressive Hedging for Stochastic Unit Commitment

2013English

General Robust-Optimization Formulation for Nonlinear Programming

Journal of Optimization Theory and Applications
ControlManagement ScienceApplied MathematicsOptimizationOperations Research
2007English

Amanote Research

Note-taking for researchers

Follow Amanote

© 2026 Amaplex Software S.P.R.L. All rights reserved.

Privacy PolicyRefund Policy