Subproblem sampling vs. scenario reduction: efficacy comparison for stochastic programs in power systems applications
Author:
Publisher
Springer Science and Business Media LLC
Subject
General Energy,Economics and Econometrics,Modeling and Simulation
Link
https://link.springer.com/content/pdf/10.1007/s12667-022-00558-9.pdf
Reference40 articles.
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3. Carrión, M., Arroyo, J.M.: A computationally efficient mixed-integer linear formulation for the thermal unit commitment problem. IEEE Trans. Power Syst. 21(3), 1371–1378 (2006)
4. Christie, R.D.: Power systems test case archive. Online: http://www.ee.washington.edu/research/pstca/, Accessed: 2015-08-01 (1999)
5. Dupačová, J., Gröwe-Kuska, N., Römisch, W.: Scenario reduction in stochastic programming. Math. Program. 95(3), 493–511 (2003)
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