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Scenario simulations do not yield results stochastically consistent with alternative Monte Carlo results: U.S. nuclear plant decommissioning funding adequacy (2000)

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  • Williams, Daniel G.

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  • Williams, Daniel G., 2007. "Scenario simulations do not yield results stochastically consistent with alternative Monte Carlo results: U.S. nuclear plant decommissioning funding adequacy (2000)," Energy Economics, Elsevier, vol. 29(5), pages 1101-1130, September.
    • Handle: RePEc:eee:eneeco:v:29:y:2007:i:5:p:1101-1130
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    References listed on IDEAS

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    1. Norbert Jobst & Stavros Zenios, 2003. "Tracking bond indices in an integrated market and credit risk environment," Quantitative Finance, Taylor & Francis Journals, vol. 3(2), pages 117-135.
    2. Williams, Daniel G., 2007. "U.S. nuclear plant decommissioning funding adequacy -- by individual funds, utilities, reactors, and industry-wide -- assessed by Monte Carlo and baseline trend methods: 1998, 2000, 2001, and 2004," Energy Economics, Elsevier, vol. 29(5), pages 1050-1100, September.
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    Cited by:

    1. Lordan-Perret, Rebecca & Bärenbold, Rebekka & Weigt, Hannes & Rosner, Robert, 2023. "An ex-ante method to verify commercial U.S. nuclear power plant decommissioning cost estimates," Energy Economics, Elsevier, vol. 127(PB).
    2. Williams, Daniel G., 2007. "U.S. nuclear plant decommissioning funding adequacy -- by individual funds, utilities, reactors, and industry-wide -- assessed by Monte Carlo and baseline trend methods: 1998, 2000, 2001, and 2004," Energy Economics, Elsevier, vol. 29(5), pages 1050-1100, September.
    3. Aquila, Giancarlo & Rotela Junior, Paulo & de Oliveira Pamplona, Edson & de Queiroz, Anderson Rodrigo, 2017. "Wind power feasibility analysis under uncertainty in the Brazilian electricity market," Energy Economics, Elsevier, vol. 65(C), pages 127-136.
    4. Montes, German Martinez & Martin, Enrique Prados & Bayo, Javier Alegre & Garcia, Javier Ordoñez, 2011. "The applicability of computer simulation using Monte Carlo techniques in windfarm profitability analysis," Renewable and Sustainable Energy Reviews, Elsevier, vol. 15(9), pages 4746-4755.

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