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In Case 2, simulations are also performed with variable orders of the active/reactive power for UPFC, and the simulation results are given in Appendix B. The results reveal that there is unstable SSR in this case, and the divergence rate remains unchanged with variable active and reactive power transferred by UPFC.
This variable did not change their position in the ranking with models having other variable orders (Table 1).
The position of these variables in the ranking (according to percentage of IVE) changed in models with other variable orders (Table 1).
The exception to this was AUTOCOV4, whose first position did not change for models with other variable orders (Table 1), although it changed the amount of IVE.
For these models the nominal ranking of importance of the predictors changed with variable order, i.e. predictors declared important by its contribution in explaining the response variable frequently changed to be either most or less important with other variable orders.
One predictor ranked first according to its independent variance explained (IVE hereafter) in the reference order (i.e. following alphabetic order) appeared second (6.2% of the times) and third (1.2%) with other variable orders in analysis of HP for models from ten to twelve independent variables.
Similar(54)
This method relies on a Householder algorithm of variable order.
The determination of the best variable ordering is intractable.
Lines: variable order reaction model fitted to the data.
4, fractional variational Herglotz problems of variable order are considered.
Originally, DAC were defined following a static variable ordering.
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