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This paper examines SB for random simulation with multiple responses (outputs), called multi-response SB (MSB).
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The goal is to accelerate the computation of Sobol sensitivity indices when the deterministic simulation is expensive and simulations with multiple levels of fidelity are available.
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The results show that the fourth-order reduced model can properly capture the input-output dynamics of a complete MMC and significantly reduce the computational cost of large-scale power system simulations with multiple ac/dc converter stations.
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This result is from our experimental simulations with multiple users in the system and DR being used.
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For the simulations with multiple QTL, we omitted the methods of Xiong et al. (2011), as they have not yet been implemented for multiple QTL.
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