Using Copulas for Modeling Stochastic Dependence in Power System Uncertainty Analysis

By George Papaefthymiou, Dorota Kurowicka. IEEE Transactions on Power Systems, 2009

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Generation and evaluation of space–time trajectories of photovoltaic power (2016, methodology): “forecasts as infeed and couple them using copulas to form a multivariate distribution [19].”
Probabilistic Forecast for Multiple Wind Farms Based on Regular Vine Copulas (2018, background): “, a large front wipes over the whole area, and researches on spatial correlations can be found in a lot of papers [19]–[22].”
Basis-Adaptive Sparse Polynomial Chaos Expansion for Probabilistic Power Flow (2017, neutral): “ula theory has been introduced into the electrical engineering [23], [24].”
Stochastic Modeling of Power Demand Due to EVs Using Copula (2012, methodology): “The rank correlation measures a monotonic relationship between variables [20], [21].”
A Study of Principal Component Analysis Applied to Spatially Distributed Wind Power (2011, background): “only, and zero correlation does not necessarily imply independence [16].”