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The stochastic economics of windpower

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  • Beenstock, Michael

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  • Beenstock, Michael, 1995. "The stochastic economics of windpower," Energy Economics, Elsevier, vol. 17(1), pages 27-37, January.
    • Handle: RePEc:eee:eneeco:v:17:y:1995:i:1:p:27-37
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    References listed on IDEAS

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    1. Feiler, David & Zahavi, Jacob, 1981. "Marginal generating costs of multi-block power systems with and without partial outages," Energy Economics, Elsevier, vol. 3(2), pages 91-101, April.
    2. Grubb, M. J., 1991. "The integration of renewable electricity sources," Energy Policy, Elsevier, vol. 19(7), pages 670-688, September.
    3. Hohmeyer, Olav, 1992. "Renewables and the full costs of energy," Energy Policy, Elsevier, vol. 20(4), pages 365-375, April.
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    Cited by:

    1. Hawkes, A.D. & Leach, M.A., 2008. "The capacity credit of micro-combined heat and power," Energy Policy, Elsevier, vol. 36(4), pages 1457-1469, April.
    2. Daniel T. Kaffine, Brannin J. McBee, and Jozef Lieskovsky, 2013. "Emissions Savings from Wind Power Generation in Texas," The Energy Journal, International Association for Energy Economics, vol. 0(Number 1).
    3. Daniel T. Kaffine & Brannin J. McBee & Jozef Lieskovsky, 2012. "Emissions savings from wind power generation: Evidence from Texas, California and the Upper Midwest," Working Papers 2012-03, Colorado School of Mines, Division of Economics and Business.
    4. Shiva Swaminathan & Samuel Fankhauser, 2000. "Measuring the Incremental Costs of Global Environment Protection: The Case of Grid-Connected Wind Turbines in Morocco," Mitigation and Adaptation Strategies for Global Change, Springer, vol. 5(2), pages 171-187, June.
    5. Womeldorf, Carole A. & Chimeli, Ariaster B., 2014. "A computational fluid dynamics approach to wind prospecting: Lessons from the U.S. Appalachian region," Energy Policy, Elsevier, vol. 73(C), pages 645-653.
    6. Stephan Nagl, Michaela Fursch, and Dietmar Lindenberger, 2013. "The Costs of Electricity Systems with a High Share of Fluctuating Renewables: A Stochastic Investment and Dispatch Optimization Model for Europe," The Energy Journal, International Association for Energy Economics, vol. 0(Number 4).
    7. Guglielmo D’Amico & Fulvio Gismondi & Filippo Petroni, 2020. "Insurance Contracts for Hedging Wind Power Uncertainty," Mathematics, MDPI, vol. 8(8), pages 1-16, August.
    8. Xiao Ling & David E. Giles, 2014. "Bias Reduction for the Maximum Likelihood Estimator of the Parameters of the Generalized Rayleigh Family of Distributions," Communications in Statistics - Theory and Methods, Taylor & Francis Journals, vol. 43(8), pages 1778-1792, April.
    9. Daniel Kaffine & Christopher Worley, 2010. "The Windy Commons?," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 47(2), pages 151-172, October.
    10. Nagl, Stephan & Fürsch, Michaela & Lindenberger, Dietmar, 2012. "The costs of electricity systems with a high share of fluctuating renewables - a stochastic investment and dispatch optimization model for Europe," EWI Working Papers 2012-1, Energiewirtschaftliches Institut an der Universitaet zu Koeln (EWI).
    11. D’Amico, Guglielmo & Petroni, Filippo & Prattico, Flavio, 2017. "Insuring wind energy production," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 467(C), pages 542-553.
    12. Li, Hong & Xie, Minghua & Zhang, Tingting, 2013. "Promote the development of renewable energy: A review and empirical study of wind power in China," Renewable and Sustainable Energy Reviews, Elsevier, vol. 22(C), pages 101-107.

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