A stochastic programming model for an energy planning problem: formulation, solution method and application
Author:
Publisher
Springer Science and Business Media LLC
Subject
Management Science and Operations Research,General Decision Sciences
Link
http://link.springer.com/content/pdf/10.1007/s10479-020-03904-1.pdf
Reference60 articles.
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3. Bakirtzis, G. A., Biskas, P. N., & Chatziathanasiou, V. (2012). Generation expansion planning by milp considering mid-term scheduling decisions. Electric Power Systems Research, 86, 98–112.
4. Betancourt-Torcat, A., & Almansoori, A. (2015). Design multiperiod optimization model for the electricity sector under uncertainty—A case study of the emirate of Abu Dhabi. Energy Conversion and Management, 100, 177–190.
5. Birge, J. R., & Louveaux, F. (2011). Introduction to stochastic programming. Berlin: Springer.
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