• Método para descubrir patrones espacio-temporales de comportamiento de usuarios eléctricos utilizando herramientas de aprendizaje automático 

  Flor Ambrosi, Mario Alberto (Date of defense: 27-10-2021)

  This research presents a novel approach to define geographic areas with typical electricity consumption profiles from smart meter records, using machine learning and spatial analysis methods. Distribution system operators ...
• Efficient sequential and temporal pattern mining 

  Mordvanyuk, Natalia (Date of defense: 13-10-2021)

  The contributions of the present thesis are in the domain of Pattern Mining and Knowledge Discovery, being of particular relevance for the sequential pattern mining and time-interval related pattern mining fields. In ...
• Estudi, desenvolupament i validació d'eines avançades per a la gestió de la diabetis 

  Parcerisas Albés, Adrià (Date of defense: 13-07-2021)

  Diabetes mellitus (DM) is a chronic disease characterized by the body's inability to produce the necessary amount of insulin to regulate blood glucose (BG) levels. Most cases occur due to a destruction of the pancreatic ...
• Data-driven approaches for event detection, fault location, resilience assessment, and enhancements in power systems 

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

  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 ...
• Robust and fault-tolerant strategies for controlling blood glucose in patients with type 1 diabetes 

  Beneyto Tantiña, Aleix (Date of defense: 02-12-2020)

  Type 1 diabetes is a serious disease that must be monitored and controlled artificially by supplying exogenous insulin to the body. The artificial pancreas (AP) is a closed-loop system that resulted from integrating an ...

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