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Monte Carlo simulation techniques and electric utility resource decisions


  • Spinney, Peter J
  • Watkins, G Campbell


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  • Spinney, Peter J & Watkins, G Campbell, 1996. "Monte Carlo simulation techniques and electric utility resource decisions," Energy Policy, Elsevier, vol. 24(2), pages 155-163, February.
  • Handle: RePEc:eee:enepol:v:24:y:1996:i:2:p:155-163

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    References listed on IDEAS

    1. Kaslow, Thomas W. & Pindyck, Robert S., 1994. "Valuing flexibility in utility planning," The Electricity Journal, Elsevier, vol. 7(2), pages 60-65, March.
    2. Pindyck, Robert S, 1991. "Irreversibility, Uncertainty, and Investment," Journal of Economic Literature, American Economic Association, vol. 29(3), pages 1110-1148, September.
    3. Pindyck, Robert S, 1993. "A Note on Competitive Investment under Uncertainty," American Economic Review, American Economic Association, vol. 83(1), pages 273-277, March.
    4. Logan, Douglas M. & Neil, Chris A. & Taylor, Alan S. & Lilienthal, Peter, 1995. "Integrated resource planning with renewable resources," The Electricity Journal, Elsevier, vol. 8(2), pages 56-66, March.
    5. Chang, Mo Ahn & Thompson, Howard E, 1989. "An Analysis of Some Aspects of Regulatory Risk and the Required Rate of Return for Public Utilities," Journal of Regulatory Economics, Springer, vol. 1(3), pages 241-257, September.
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    3. Ahn, Joongha & Woo, JongRoul & Lee, Jongsu, 2015. "Optimal allocation of energy sources for sustainable development in South Korea: Focus on the electric power generation industry," Energy Policy, Elsevier, vol. 78(C), pages 78-90.
    4. Krukanont, Pongsak & Tezuka, Tetsuo, 2007. "Implications of capacity expansion under uncertainty and value of information: The near-term energy planning of Japan," Energy, Elsevier, vol. 32(10), pages 1809-1824.
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    8. Kim, Seunghyok & Koo, Jamin & Lee, Chang Jun & Yoon, En Sup, 2012. "Optimization of Korean energy planning for sustainability considering uncertainties in learning rates and external factors," Energy, Elsevier, vol. 44(1), pages 126-134.
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    10. Ravikumar, Dwarakanath & Malghan, Deepak, 2013. "Material constraints for indigenous production of CdTe PV: Evidence from a Monte Carlo experiment using India's National Solar Mission Benchmarks," Renewable and Sustainable Energy Reviews, Elsevier, vol. 25(C), pages 393-403.
    11. Roques, Fabien A., 2008. "Technology choices for new entrants in liberalized markets: The value of operating flexibility and contractual arrangements," Utilities Policy, Elsevier, vol. 16(4), pages 245-253, December.
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    14. Kessides, Ioannis N., 2010. "Nuclear power: Understanding the economic risks and uncertainties," Energy Policy, Elsevier, vol. 38(8), pages 3849-3864, August.
    15. Weber, Florian & Schmid, Thomas & Pietz, Matthäus & Kaserer, Christoph, 2010. "Simulation-based valuation of project finance: does model complexity really matter?," CEFS Working Paper Series 2010-03, Technische Universität München (TUM), Center for Entrepreneurial and Financial Studies (CEFS).
    16. Vithayasrichareon, Peerapat & MacGill, Iain F., 2012. "A Monte Carlo based decision-support tool for assessing generation portfolios in future carbon constrained electricity industries," Energy Policy, Elsevier, vol. 41(C), pages 374-392.
    17. Makkonen, Simo & Lahdelma, Risto, 2006. "Non-convex power plant modelling in energy optimisation," European Journal of Operational Research, Elsevier, vol. 171(3), pages 1113-1126, June.
    18. Lyons, Glenn & Davidson, Cody, 2016. "Guidance for transport planning and policymaking in the face of an uncertain future," Transportation Research Part A: Policy and Practice, Elsevier, vol. 88(C), pages 104-116.
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