Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Global Sensitivity Analysis in Load Modeling via Low-rank Tensor   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.

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The categories of this paper are: atom-ph
34
The categories of this paper are: chem-ph
5
The categories of this paper are: gr-qc
3
The categories of this paper are: physics
18
The categories of this paper are: econ
16
The categories of this paper are: stat
33
The categories of this paper are: plasm-ph
11
The categories of this paper are: hep-lat
22
The categories of this paper are: chao-dyn
31
The categories of this paper are: ao-sci
30
The categories of this paper are: q-alg
26
The categories of this paper are: bayes-an
0
The categories of this paper are: hep-ph
23
The categories of this paper are: solv-int
12
The categories of this paper are: nucl-th
35
The categories of this paper are: mtrl-th