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Figure 6 shows the simulation wave when the grid simulator outputs a three-phase unbalanced voltage.
Figure 5 shows the simulation voltage wave when the grid simulator outputs a voltage fluctuation amplitude of which is ±10 % and fluctuation frequency is 10 Hz.
Figure 4 shows the simulation voltage wave when the grid simulator outputs a voltage frequency of which is 62 Hz; the dotted line is the output voltage of the grid simulator, and the solid line is the voltage wave at the grid access point.
By definition, an emulator uses reservoir properties as input parameters in a statistical model constructed from simulator outputs.
The approach presented in this paper is general and provides a means to interpret and develop predictive models from simulator outputs in other research areas.
The effectiveness of the simulator is shown through experiments by comparing the simulator outputs with actual plant data, using the EAF of Gerdau Ameristeel Whitby (GAW) in Ontario, Canada.
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Figure 7 shows the simulations of voltage wave and harmonic content of the voltage when the grid simulator output the 16th harmonic voltage, and the harmonic ratio for the voltage was set to 2.5%%.
Individualization of T1DM model parameters is done by matching the simulator output to T1DM self-monitoring data obtained from continuous glucose monitoring (CGM) device.
A technique for well-test interpretation was also introduced, which is based on simulator output data for analysis of a field pressure-transient data.
The ultimate goal of such studies is often the estimation of specific features of interest of the simulator output, such as the maximum, minimum, or a level set (contour).
In order to build a GPE that can predict the simulator output from a permeability field consisting of 1000s of values, we use a truncated Karhunen-Loève (K-L) expansion of the permeability field, which enables the application of the Bayesian functional regression approach.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com