• 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 ...
• Multivariate statistical modelling and monitoring of smart buildings 

  Burgas Nadal, Llorenç (Date of defense: 22-11-2019)

  In order to reduce mismatches between real and expected consumption, this thesis explores the use of PCA (Principal Component Analysis) as a modelling tool for buildings. PCA is a statistical technique that allows complex ...
• Reducción de barreras de adopción de criptomonedas: innovación tecnológica en los procesos de validación de transacciones 

  Carrillo Peña, Paulo Nicolás (Date of defense: 10-07-2019)

  This research proposes a solution for the reduction of part of the aforementioned barriers, through the design of the consensus protocol called Proof of Reputation (PoR) that is based on the Blockchain technology of Ethereum, ...
• Condition assessment of patients with Type 1 diabetes using compositional data analysis 

  Biagi, Lyvia (Date of defense: 09-07-2019)

  Type 1 Diabetes Mellitus (T1DM) is a chronic disease that leads to absolute insulin deficiency. People with T1DM need exogenous insulin to maintain glucose at proper levels. Achieving optimal glycemic control is a major ...

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