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The material properties have been taken as random variables for accurate prediction of the system behaviour.
Local discrete-time polytopic models have been exploited for prediction of the system behavior.
One of the main products of the research consists of a simulation model for performance prediction of the system.
The statistical analysis of the results indicated satisfactory prediction of the system behavior by the developed model.
An engineering correlation relating the Nusselt number with other dimensionless parameters was developed for the prediction of the system performance.
The statistical analysis of the results indicates a satisfactory prediction of the system behavior by the developed model.
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However, past research shows that ignoring this element can lead to inaccurate predictions of the system's behaviour.
For transient and turbulent flow regimes, all the analyzed turbulence models provided good predictions of the system when the process was controlled by surface reaction.
Therefore, such predictions can be seen as the 'core' predictions of the system behavior independently from experimental noise.
Using restorative treatments with a known period of longevity, we were able to make predictions using a CBR system to estimate the prediction capability of the system.
Case study results show the developed tools provide better prediction of the power system balancing requirements, better transmission congestions management, and better system reliability.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com