Data-driven approaches for event detection, fault location, resilience assessment, and enhancements in power systems 

    Souto, Laiz (Date of defense: 2021-01-15)

    This thesis presents the study and development of distinct data-driven techniques to support event detection, fault location, and resilience assessment towards enhancements in power systems. It is divided in three main ...

    Data-driven models for type 1 diabetes using generative deep learning 

    Mujahid, Omer (Date of defense: 2023-09-19)

    Modeling biological systems has always been challenging given the complexity of the processes involved in them. Experts have been employing physiological models to approximate the dynamics of biological systems; however, ...

    Optimisation methods meet the smart grid. New methods for solving location and allocation problems under the smart grid paradigm 

    Torrent-Fontbona, Ferran (Date of defense: 2015-06-23)

    The smart grid offers a new infrastructure for the management of energy demand and generation towards a sustainable future. Accordingly, there is the objective to provide consumers with a response capacity to stimuli of ...