Value of information analysis of snow measurements for the scheduling of hydropower production
Author:
Publisher
Springer Science and Business Media LLC
Subject
General Energy,Economics and Econometrics,Modeling and Simulation
Link
http://link.springer.com/article/10.1007/s12667-017-0267-3/fulltext.html
Reference21 articles.
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2. Castelletti, A., Fedorov, R., Fraternali, P., Giuliani, M.: Multimedia on the mountaintop: using public snow images to improve water systems operation. In: Proceedings of the 2016 ACM on Multimedia Conference, MM ’16, pp. 948–957. ACM, New York (2016)
3. Cressie, N.A.C., Wikle, C.K.: Statistics for Spatio-Temporal Data. Wiley Series in Probability and Statistics. Wiley, New York (2011)
4. Denault, M., Simonato, J.G., Stentoft, L.: A simulation-and-regression approach for stochastic dynamic programs with endogenous state variables. Comput. Oper. Res. 40(11), 2760–2769 (2013)
5. Desreumaux, Q., Côté, P., Leconte, R.: Role of hydrologic information in stochastic dynamic programming: a case study of the Kemano hydropower system in British Columbia. Can. J. Civil Eng. 41(9), 839–844 (2014)
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