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A Data Science framework in the INCD

Explore a comprehensive Data Science framework developed at INCD for behavior prediction, outlier detection, and Deep Learning. Real-world case studies illustrate applications of the framework, demonstrating its efficacy. Conclusions and future work highlight the framework's versatile utility and impact on research at INCD.

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A Data Science framework in the INCD

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  1. A Data Science framework in the INCD António Lorvão Antunes,Tiago Martins, José Barateiro, Anabela Oliveira & Alberto Azevedo

  2. Presentation Contents • A Data Science framework in the INCD • Case Study #1: Behavior Prediction • Case Study #2: Outlier Detection • Case Study #3: UsingDeepLearning • Conclusions and Future Work Presentation at IBERGRID 2019 Santiago de Compostela, Spain

  3. A Data Science framework in the INCD Online via browser (Jupyter Notebook) Case studies as proof of concept Presentation at IBERGRID 2019 Santiago de Compostela, Spain

  4. Case Study #1: Behavior Prediction Python Prediction of dam behavior in manually collected data Multiple Linear Regression (MLR) against Neural Networks (NN) Based on the work from (Mata, 2011) Presentation at IBERGRID 2019 Santiago de Compostela, Spain

  5. Case Study #2: Outlier Detection Python and R Outlier detection in automatically collected data DBSCAN (Density-based spatial clustering of applications with noise) Based on (Antunes, Cardoso & Barateiro, 2018) Presentation at IBERGRID 2019 Santiago de Compostela, Spain

  6. Case Study #2: Outlier Detection Presentation at IBERGRID 2019 Santiago de Compostela, Spain

  7. Case Study#3: UsingDeepLearning Improving prediction of dam behavior using DeepLearningmethods Keras and Tensorflow libraries Computation times improved with the use ofGPU in the INCD Published in (Rico et al., 2019) Presentation at IBERGRID 2019 Santiago de Compostela, Spain

  8. Conclusions and Future Work The framework allows the creation of personalized application and scripts to aid in several knowledge areas LNEC researchers were already introduced to the framework, showing a large interest on its approach Researchers already started to take advantage of the framework and the INCD to create and run their own scripts in a cloud environment Presentation at IBERGRID 2019 Santiago de Compostela, Spain

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