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Since their aerodynamics are nonlinear, wind turbine modelling is thus challenging.
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Combinations of different artificial neural networks (ANNs) for non-linear hierarchical modelling are thus examined.
Four cycles of experiment and modelling were thus carried out.
The model is thus accurate.
The Chatterjee model is thus timely.
The engineering applicability of the model is thus ascertained.
The use of statistical regime-switching models is thus investigated.
A realistic, accurate reaction model is thus determined.
This model is thus suitable for initialization of algorithms based on the subsequent models.
A 2-D FEM modeling is, thus, selected for its analysis through the ANSYS platform.
By construction, this model is thus completely independent of IGRF-10 and EIGRF.
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