Economic risk analysis of decentralized renewable energy infrastructures – A Monte Carlo Simulation approach

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Risk-based methods for sustainable energy system planning: a review (2017, unknown): “performing interviews with experts) on the empirical worst, base and best case estimates (confidence intervals) usually interpreted as quantiles of a probability density function [57]; most often, both methods are used in order to derive the PDF of numerous variable inputs [56,89,128].”
The importance of project finance for renewable energy projects (2018, background): “While country-level data is hardly available, there is some evidence that project finance also plays an important role in investment-grade countries such as Germany (Arnold and Yildiz, 2015; Enzensberger et al., 2003), Chile (Nasirov et al.”