Scenario reduction and scenario tree construction for power management problems

By Nicole Gröwe-Kuska, Holger Heitsch, Werner Römisch. 2003 IEEE Bologna Power Tech Conference Proceedings,, 2003

830 citations recorded by the source corpus.

Subfields: Management Science and Operations Research, Ocean Engineering

View Paper: https://www.semanticscholar.org/paper/60e30946020ec4afbc97ef6075848d2700601880

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In Management Science and Operations Research

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Citations in the corpus

Optimization of Electricity Retailer's Contract Portfolio Subject to Risk Preferences (2010, background): “line of research in scenario generation techniques [22]–[27],”
Market-clearing with stochastic security-part II: case studies (2005, methodology): “In addition, as mentioned in the companion paper, the use of scenario reduction techniques [15]–[17] is promising, as are decomposition techniques based on Benders’ decomposition [18]–[21] and “branch-and-price” decomposition [22]–[24].”
Wind Power Scenario Generation and Reduction in Stochastic Programming Framework (2013, background): “Forward and backward scenario-reduction algorithms have been proposed for price and load scenarios [9].”
Multi-Stage Stochastic Programming With Nonanticipativity Constraints for Expansion of Combined Power and Natural Gas Systems (2018, background): “Presently, a number of approaches to the generation of scenario trees are available in [24]–[25].”
Generation of multivariate scenario trees to model stochasticity in power management (2005, methodology): “The backward strategy consists in the opposite approach, namely, in deleting recursively only one scenario.”
Multimarket optimal bidding for a power producer (2005, background): “This Appendix provides definitions for acronyms and some specific stochastic programming expressions and a mathematical description of the scenario reduction algorithm used [18].”
Scenario Reduction Applied to Geostatistical Simulations (2013, background): “…a representative subset of geostatistically simulated realizations of a mineral deposit from a larger set, based on the scenario reduction methods developed in the field of stochastic optimization (Heitsch and Romisch 2003, 2007; Dupacova et al. 2003; Growe-Kuska et al. 2003; Heitsch et al. 2006).”
Forward Contracting and Selling Price Determination for a Retailer (2007, methodology): “In this work we use the fast-forward reduction algorithm as described in [32].”
A Scenario Optimal Reduction Method for Wind Power Time Series (2016, methodology): “Table I also shows that the and of the proposed model are less than the traditional models in the literature which only minimize space distance [3], [4].”
A Bilevel Stochastic Programming Approach for Retailer Futures Market Trading (2009, methodology): “For the sake of problem tractability, the size of the set of pool price and client demand scenarios is conveniently reduced by scenario-reduction techniques [16].”
Market-clearing with stochastic security-part I: formulation (2005, background): “Moreover, several authors [45]–[47] have proposed rigorous scenario reduction algorithms for stochastic programming problems.”