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Robust responses to climate change via stochastic MARKAL: The case of Quebec

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  • Kanudia, Amit
  • Loulou, Richard
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    File URL: http://www.sciencedirect.com/science/article/B6VCT-3SX82DN-X/2/c8b56390a3d82b67614757ec20b11956
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    Article provided by Elsevier in its journal European Journal of Operational Research.

    Volume (Year): 106 (1998)
    Issue (Month): 1 (April)
    Pages: 15-30

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    Handle: RePEc:eee:ejores:v:106:y:1998:i:1:p:15-30

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    Web page: http://www.elsevier.com/locate/eor

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    Cited by:
    1. Dong, C. & Huang, G.H. & Cai, Y.P. & Xu, Y., 2011. "An interval-parameter minimax regret programming approach for power management systems planning under uncertainty," Applied Energy, Elsevier, vol. 88(8), pages 2835-2845, August.
    2. John Bistline & John Weyant, 2013. "Electric sector investments under technological and policy-related uncertainties: a stochastic programming approach," Climatic Change, Springer, vol. 121(2), pages 143-160, November.
    3. Peterson, Sonja, 2006. "Uncertainty and economic analysis of climate change : a survey of approaches and findings," Open Access Publications from Kiel Institute for the World Economy 3778, Kiel Institute for the World Economy (IfW).
    4. Sarica, Kemal & Tyner, Wallace E., 2013. "Alternative policy impacts on US GHG emissions and energy security: A hybrid modeling approach," Energy Economics, Elsevier, vol. 40(C), pages 40-50.
    5. Zhu, Y. & Li, Y.P. & Huang, G.H., 2013. "Planning carbon emission trading for Beijing's electric power systems under dual uncertainties," Renewable and Sustainable Energy Reviews, Elsevier, vol. 23(C), pages 113-128.
    6. Li, Y.P. & Huang, G.H. & Chen, X., 2011. "An interval-valued minimax-regret analysis approach for the identification of optimal greenhouse-gas abatement strategies under uncertainty," Energy Policy, Elsevier, vol. 39(7), pages 4313-4324, July.
    7. Vaillancourt, Kathleen & Waaub, Jean-Philippe, 2004. "Equity in international greenhouse gases abatement scenarios: A multicriteria approach," European Journal of Operational Research, Elsevier, vol. 153(2), pages 489-505, March.
    8. Chen, W.T. & Li, Y.P. & Huang, G.H. & Chen, X. & Li, Y.F., 2010. "A two-stage inexact-stochastic programming model for planning carbon dioxide emission trading under uncertainty," Applied Energy, Elsevier, vol. 87(3), pages 1033-1047, March.
    9. Yong Zeng & Yanpeng Cai & Guohe Huang & Jing Dai, 2011. "A Review on Optimization Modeling of Energy Systems Planning and GHG Emission Mitigation under Uncertainty," Energies, MDPI, Open Access Journal, vol. 4(10), pages 1624-1656, October.
    10. Hunter, Kevin & Sreepathi, Sarat & DeCarolis, Joseph F., 2013. "Modeling for insight using Tools for Energy Model Optimization and Analysis (Temoa)," Energy Economics, Elsevier, vol. 40(C), pages 339-349.
    11. Seljom, Pernille & Rosenberg, Eva & Fidje, Audun & Haugen, Jan Erik & Meir, Michaela & Rekstad, John & Jarlset, Thore, 2011. "Modelling the effects of climate change on the energy system—A case study of Norway," Energy Policy, Elsevier, vol. 39(11), pages 7310-7321.

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