  Growing model complexities in load modeling have created high dimensionality
in parameter estimations, and thereby substantially increasing associated
computational costs. In this paper, a tensor-based method is proposed for
identifying composite load modeling (CLM) parameters and for conducting a
global sensitivity analysis. Tensor format and Fokker-Planck equations are used
to estimate the power output response of CLM in the context of simultaneously
varying parameters under their full parameter distribution ranges. The proposed
tensor structured is shown as effective for tackling high-dimensional parameter
estimation and for improving computational performances in load modeling
through global sensitivity analysis.
