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Uncertainty Quantification via Polynomial Chaos Expansion - Methods and Applications for Optimization of Power Systems. Karlsruhe University, Germany, (2020)base-search.net (ftubkarlsruhe:oai:EVASTAR-Karlsruhe.de:1000104661).Errata for "Comments on Truncation Errors for Polynomial Chaos Expansions"., , , and . IEEE Control. Syst. Lett., 4 (2): 504-505 (2020)Distributed Optimal Power Flow using ALADIN., , , , and . CoRR, (2018)Modeling and simulation of sector-coupled networks: A gas-power benchmark., , , , and . CoRR, (2020)Distributed Power Flow and Distributed Optimization - Formulation, Solution, and Open Source Implementation., , , and . CoRR, (2020)Analytical uncertainty propagation and storage usage in a high RES Turkish transmission grid scenario., , , and . e-Energy, page 489-495. ACM, (2022)Output feedback model predictive control with probabilistic uncertainties for linear systems., , , and . ACC, page 2035-2040. IEEE, (2016)Distributed Stochastic AC Optimal Power Flow based on Polynomial Chaos Expansion., , , , and . ACC, page 6188-6193. IEEE, (2018)timueh/PolyChaos.jl: v0.1.2., , , , and . (March 2019)