A KL-expansion plus anisotropic sparse grid interpolation estimates probabilistic load flow statistics on high-dimensional test systems about 30 times faster than 10,000-sample Monte Carlo, with small reported errors.
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A Coupled Karhunen--Lo\`eve and Anisotropic Sparse Grid Interpolation Method for the Probabilistic Load Flow Problem
A KL-expansion plus anisotropic sparse grid interpolation estimates probabilistic load flow statistics on high-dimensional test systems about 30 times faster than 10,000-sample Monte Carlo, with small reported errors.