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A number of variables are applied to assess this.
In this study, the exogenous variables are applied to the forecast model as described above.
Note that the configuration mode variables are applied only to CCGT units.
The results when these variables are applied are shown in column (IV) in Table 4.
At the start of the simulation several static variables are applied to the model.
The membership functions defined on the input variables are applied to their actual values to determine the degree of truth for each rule premise.
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I1 and I2 indicator variables were applied as grouping variables.
Linear correlation analysis between two quantitative variables was applied using Pearson's correlation coefficient (r).
These scaled variables were applied to the input neurons to carry out the ANN modeling.
Scatter plot, which is able to reveal the relationship between two random variables, is applied here for the copula selection.
Three different models with selected dependent variables were applied to explore different parts of the stress response and recovery profile.
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