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The proposed integrated method performs better due to the more accurate estimating of the model parameters.
However, it is rarely employed in estimating of the cogeneration potential of a utility system.
The next subsections describes the method used for the state-independent GMM training and the two different classes estimating of the state-dependent morphing functions.
The prior form is incorporated in the estimating of the covariance matrix to achieve an accurate estimate relative to the local training scheme.
Its assessing through the considering of a friction system, reveals suitable accuracy about the estimating of the dispersion of the occurrences of instabilities.
The approach demonstrates the practical applications of the single-well step-drawdown tests for estimating of the safe and sustained well yields for future groundwater extraction.
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