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Monte Carlo simulation techniques and electric utility resource decisions

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  • Spinney, Peter J
  • Watkins, G Campbell
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    Bibliographic Info

    Article provided by Elsevier in its journal Energy Policy.

    Volume (Year): 24 (1996)
    Issue (Month): 2 (February)
    Pages: 155-163

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    Handle: RePEc:eee:enepol:v:24:y:1996:i:2:p:155-163

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

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    Cited by:
    1. Jebaraj, S. & Iniyan, S., 2006. "A review of energy models," Renewable and Sustainable Energy Reviews, Elsevier, vol. 10(4), pages 281-311, August.
    2. 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, Center for Entrepreneurial and Financial Studies (CEFS), Technische Universität München.
    3. Morgan Bazilian & Patrick Nussbaumer & Hans-Holger Rogner & Abeeku Brew-Hammond & Vivien Foster & Shonali Pachauri & Eric Williams & Mark Howells & Philippe Niyongabo & Lawrence Musaba & Brian Ó Gall, 2011. "Energy Access Scenarios to 2030 for the Power Sector in Sub-Saharan Africa," Working Papers 2011.68, Fondazione Eni Enrico Mattei.
    4. Roques, F.A., 2007. "Technology Choices for New Entrants in Liberalised Markets: The Value of Operating Flexibility and Contractual Arrangements," Cambridge Working Papers in Economics 0759, Faculty of Economics, University of Cambridge.
    5. Lin, Boqiang & Xie, Chunping, 2013. "Estimation on oil demand and oil saving potential of China's road transport sector," Energy Policy, Elsevier, vol. 61(C), pages 472-482.
    6. Kessides, Ioannis N., 2010. "Nuclear power: Understanding the economic risks and uncertainties," Energy Policy, Elsevier, vol. 38(8), pages 3849-3864, August.

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