The DOI matches its Crossref record.
Scenario Reduction Algorithms in Stochastic Programming
Overview
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Citations
Cited by
Reserve Requirements for Wind Power Integration: A Scenario-Based Stochastic Programming Framework
Papavasiliou, A., Oren, S. S., & O'Neill, R. P. (2011) · IEEE Transactions on Power Systems · doi:10.1109/tpwrs.2011.2121095 · Cited by 580
Goerigk, M., & Khosravi, M. (2023) · European Journal of Operational Research · doi:10.1016/j.ejor.2023.03.019 · Cited by 20
Metadata
- Authors
- Heitsch, H., & Römisch, W.
- Venue
- Computational Optimization and Applications
- Published
- 2003-02
- Volume
- 24
- Issue
- 2-3
- Pages
- 187-206
- ISSN
- 0926-6003 (ISSN-L)
- 1573-2894
- OpenAlex
- W1570220941
- Cited by
- 982
- References
- 0
- FWCI
- 18.82
- Type
- journal article
- Language
- en
- Open access
- closed
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
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How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Scenario Reduction Algorithms in Stochastic Programming. https://app.cochat.ai/papers/10.1023/a:1021805924152
- The paper
- Heitsch, H., & Römisch, W. (2003). Scenario Reduction Algorithms in Stochastic Programming. Computational Optimization and Applications. https://doi.org/10.1023/a%3A1021805924152
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
