A Monte Carlo Model of a Wind Power Generation Investment
作者： Irina Khindanova
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摘要: This paper conducts a Monte Carlo analysis of wind power generation investment using EViews. The is based on modeling the electricity price and costs uncertainties as stochastic variables simulating Net Present Values (NPV) project. A generated NPV distribution enables much deeper assessment comparing to single point estimate or collection scenarios outputs. It allows users several informative risk measures: standard deviation, skewness, behavior in tails, probabilities extreme values. described can be useful for alternative technologies.
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