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Scenario tree reduction for multistage stochastic programs

Citations

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Cited by:

  1. Libo Yin & Liyan Han, 2013. "Options strategies for international portfolios with overall risk management via multi-stage stochastic programming," Annals of Operations Research, Springer, vol. 206(1), pages 557-576, July.
  2. Martin Glanzer & Georg Ch. Pflug, 2020. "Multiscale stochastic optimization: modeling aspects and scenario generation," Computational Optimization and Applications, Springer, vol. 75(1), pages 1-34, January.
  3. Zepter, Jan Martin & Weibezahn, Jens, 2019. "Unit commitment under imperfect foresight – The impact of stochastic photovoltaic generation," Applied Energy, Elsevier, vol. 243(C), pages 336-349.
  4. Michal Kaut & Stein Wallace, 2011. "Shape-based scenario generation using copulas," Computational Management Science, Springer, vol. 8(1), pages 181-199, April.
  5. Park, Heejung & Baldick, Ross, 2016. "Multi-year stochastic generation capacity expansion planning under environmental energy policy," Applied Energy, Elsevier, vol. 183(C), pages 737-745.
  6. Georg Pflug & Alois Pichler, 2015. "Dynamic generation of scenario trees," Computational Optimization and Applications, Springer, vol. 62(3), pages 641-668, December.
  7. Konicz, Agnieszka Karolina & Mulvey, John M., 2015. "Optimal savings management for individuals with defined contribution pension plans," European Journal of Operational Research, Elsevier, vol. 243(1), pages 233-247.
  8. Simoglou, Christos K. & Kardakos, Evaggelos G. & Bakirtzis, Emmanouil A. & Chatzigiannis, Dimitris I. & Vagropoulos, Stylianos I. & Ntomaris, Andreas V. & Biskas, Pandelis N. & Gigantidou, Antiopi & T, 2014. "An advanced model for the efficient and reliable short-term operation of insular electricity networks with high renewable energy sources penetration," Renewable and Sustainable Energy Reviews, Elsevier, vol. 38(C), pages 415-427.
  9. Xuecheng Yin & İ. E. Büyüktahtakın, 2021. "A multi-stage stochastic programming approach to epidemic resource allocation with equity considerations," Health Care Management Science, Springer, vol. 24(3), pages 597-622, September.
  10. Wu, Weitiao & Li, Yu, 2024. "Pareto truck fleet sizing for bike relocation with stochastic demand: Risk-averse multi-stage approximate stochastic programming," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 183(C).
  11. Eduardo Faria & Stein-Erik Fleten, 2011. "Day-ahead market bidding for a Nordic hydropower producer: taking the Elbas market into account," Computational Management Science, Springer, vol. 8(1), pages 75-101, April.
  12. Alonso-Ayuso, Antonio & Escudero, Laureano F. & Guignard, Monique & Weintraub, Andres, 2018. "Risk management for forestry planning under uncertainty in demand and prices," European Journal of Operational Research, Elsevier, vol. 267(3), pages 1051-1074.
  13. Markéta Horejšová & Sebastiano Vitali & Miloš Kopa & Vittorio Moriggia, 2020. "Evaluation of scenario reduction algorithms with nested distance," Computational Management Science, Springer, vol. 17(2), pages 241-275, June.
  14. Boomsma, Trine Krogh & Juul, Nina & Fleten, Stein-Erik, 2014. "Bidding in sequential electricity markets: The Nordic case," European Journal of Operational Research, Elsevier, vol. 238(3), pages 797-809.
  15. Sheng, Xiaoming & Chew, Ek Peng & Lee, Loo Hay, 2015. "(s,S) policy model for liner shipping refueling and sailing speed optimization problem," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 76(C), pages 76-92.
  16. Marí, L. & Nabona, N. & Pagès-Bernaus, A., 2017. "Medium-term power planning in electricity markets with pool and bilateral contracts," European Journal of Operational Research, Elsevier, vol. 260(2), pages 432-443.
  17. Yu Lu & Shaochong Lin & Zuo-Jun Max Shen & Junlong Zhang, 2025. "Location planning, resource reallocation and patient assignment during a pandemic considering the needs of ordinary patients," Health Care Management Science, Springer, vol. 28(2), pages 234-258, June.
  18. Yankai Cao & Carl D. Laird & Victor M. Zavala, 2016. "Clustering-based preconditioning for stochastic programs," Computational Optimization and Applications, Springer, vol. 64(2), pages 379-406, June.
  19. Spiegel, Alisa & Severini, Simone & Britz, Wolfgang & Coletta, Attilio, . "Step-by-step development of a model simulating returns on farm from investments: the example of hazelnut plantation in Italy: The example of hazelnut plantation in Italy," Bio-based and Applied Economics Journal, Italian Association of Agricultural and Applied Economics (AIEAA), vol. 9(01).
  20. Raimund Kovacevic & Alois Pichler, 2015. "Tree approximation for discrete time stochastic processes: a process distance approach," Annals of Operations Research, Springer, vol. 235(1), pages 395-421, December.
  21. Fattahi, Mohammad & Govindan, Kannan, 2018. "A multi-stage stochastic program for the sustainable design of biofuel supply chain networks under biomass supply uncertainty and disruption risk: A real-life case study," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 118(C), pages 534-567.
  22. Cadarso, Luis & Escudero, Laureano F. & Marín, Angel, 2018. "On strategic multistage operational two-stage stochastic 0–1 optimization for the Rapid Transit Network Design problem," European Journal of Operational Research, Elsevier, vol. 271(2), pages 577-593.
  23. Kipngeno Benard Kirui & Georg Ch. Pflug & Alois Pichler, 2025. "Tree approximation of scenario processes for multistage stochastic optimization: algorithms and fast implementations," Computational Management Science, Springer, vol. 22(2), pages 1-37, December.
  24. Mínguez, R. & van Ackooij, W. & García-Bertrand, R., 2021. "Constraint generation for risk averse two-stage stochastic programs," European Journal of Operational Research, Elsevier, vol. 288(1), pages 194-206.
  25. İ. Esra Büyüktahtakın, 2022. "Stage-t scenario dominance for risk-averse multi-stage stochastic mixed-integer programs," Annals of Operations Research, Springer, vol. 309(1), pages 1-35, February.
  26. Bohlayer, Markus & Bürger, Adrian & Fleschutz, Markus & Braun, Marco & Zöttl, Gregor, 2021. "Multi-period investment pathways - Modeling approaches to design distributed energy systems under uncertainty," Applied Energy, Elsevier, vol. 285(C).
  27. Isha Chopra & Dharmaraja Selvamuthu, 2020. "Scenario generation in stochastic programming using principal component analysis based on moment-matching approach," OPSEARCH, Springer;Operational Research Society of India, vol. 57(1), pages 190-201, March.
  28. Jadidbonab, Mohammad & Babaei, Ebrahim & Mohammadi-ivatloo, Behnam, 2019. "CVaR-constrained scheduling strategy for smart multi carrier energy hub considering demand response and compressed air energy storage," Energy, Elsevier, vol. 174(C), pages 1238-1250.
  29. Escudero, Laureano F. & Monge, Juan F. & Rodríguez-Chía, Antonio M., 2020. "On pricing-based equilibrium for network expansion planning. A multi-period bilevel approach under uncertainty," European Journal of Operational Research, Elsevier, vol. 287(1), pages 262-279.
  30. Agustı´n, A. & Alonso-Ayuso, A. & Escudero, L.F. & Pizarro, C., 2012. "On air traffic flow management with rerouting. Part II: Stochastic case," European Journal of Operational Research, Elsevier, vol. 219(1), pages 167-177.
  31. Alonso-Ayuso, Antonio & Carvallo, Felipe & Escudero, Laureano F. & Guignard, Monique & Pi, Jiaxing & Puranmalka, Raghav & Weintraub, Andrés, 2014. "Medium range optimization of copper extraction planning under uncertainty in future copper prices," European Journal of Operational Research, Elsevier, vol. 233(3), pages 711-726.
  32. Fattahi, Mohammad & Mosadegh, Hadi & Hasani, Aliakbar, 2021. "Sustainable planning in mining supply chains with renewable energy integration: A real-life case study," Resources Policy, Elsevier, vol. 74(C).
  33. Fei, Xin & Gülpınar, Nalân & Branke, Jürgen, 2019. "Efficient solution selection for two-stage stochastic programs," European Journal of Operational Research, Elsevier, vol. 277(3), pages 918-929.
  34. Fattahi, Mohammad, 2021. "Resilient procurement planning for supply chains: A case study for sourcing a critical mineral material," Resources Policy, Elsevier, vol. 74(C).
  35. Guk-Hyun Moon & Rakkyung Ko & Sung-Kwan Joo, 2020. "Integration of Smart Grid Resources into Generation and Transmission Planning Using an Interval-Stochastic Model," Energies, MDPI, vol. 13(7), pages 1-12, April.
  36. Kazemi Zanjani, Masoumeh & Nourelfath, Mustapha, 2014. "Integrated spare parts logistics and operations planning for maintenance service providers," International Journal of Production Economics, Elsevier, vol. 158(C), pages 44-53.
  37. Huang, Yalin & Söder, Lennart, 2017. "Evaluation of economic regulation in distribution systems with distributed generation," Energy, Elsevier, vol. 126(C), pages 192-201.
  38. Jitka Dupačová & Václav Kozmík, 2017. "SDDP for multistage stochastic programs: preprocessing via scenario reduction," Computational Management Science, Springer, vol. 14(1), pages 67-80, January.
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