Listando Institut d'Informàtica i Aplicacions por materia "621.3"

Mostrando ítems 1-4 de 4

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

Souto, Laiz (Fecha de defensa: 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 (Fecha de defensa: 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, ...

Network performance prediction using graph neural networks: application to network slicing

Farreras Casamort, Miquel (Fecha de defensa: 2024-11-04)

ENG- This thesis addresses key challenges in the optimization of network slicing in Beyond 5G (B5G) networks, focusing on the use of Graph Neural Networks (GNNs) for performance prediction and resource allocation. It is ...

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

Torrent-Fontbona, Ferran (Fecha de defensa: 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 ...