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A data-driven approach for the assessment of the thermal stratification of reservoirs based on readily available data.

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IFCA-Advanced-Computing/Thermocline_prediction

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Thermocline_prediction

Jupyter notebook and example dataset to facilitate the use of readily available environmental data to assess the thermal estratification in reservoirs.

It includes unsupervised clustering, clasiffication neural network, regression neural network and obtention of SHAP values.

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A data-driven approach for the assessment of the thermal stratification of reservoirs based on readily available data.

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