Pattern Recognition Algorithms to Enhance the Performance of Energy Management Systems and the Reliability of Power Supply

This thesis investigates the application of pattern recognition algorithms in two fields. The first application focuses on enhancing the performance of energy management systems through advanced forecasting. To this end, a recurrent neural network is implemented to predict renewable energy production. The outcomes of the algorithm are input into an effective energy management system enabling a reliable estimate of dispatching programs for production units of plants and microgrids to minimize ...

Nonlinear Inductors in Power Electronics: Modeling, Design, and Control

Inductors that operate in partial magnetic saturation are increasingly attracting the interest of the scientific community in the attempt of enhancing the power density of switched-mode power supplies. Designing and simulating converters that use nonlinear magnetic components need accurate models capable of predicting their voltage and current characteristics, as well as power losses under various operating conditions. Typically, inductor datasheets do not provide comprehensive informati...

Environmental Risks and Climate Change: Migration and Community Resilience in Eastern Sub-Saharan Africa – IGAD Region

In recent times, the concept of resilience has been joined by the concept of community resilience with the aim of describing the capacity of communities to cope with external stresses and disturbances of a social, environmental and political nature; however, the definition of this concept is variable, which entails complications for its understanding, academic and especially practical use. Starting from an understanding of the complexity associated with global climate change from a geographic...

Transport investigation of topological materials

Enhancing Human-Robot Collaboration Through Advanced Human Activity Recognition and Motion Tracking

The primary objective of this research is to enhance human activity recognition (HAR), with a particular focus on recognizing, tracking and reconstructing human motion within human-robot collaboration (HRC) scenarios. The investigation journey began with a thorough examination of the literature on human activity recognition (HAR) to identify the main approaches in the field. The initial study identified a variety of strategies, including vision-based and wearable sensor approaches, each w...

Lovász-Saks-Schrijver ideals and the dual F-signature of Veronese subrings.

This dissertation presents two independent projects that demonstrate the interplay between commutative algebra and combinatorics. The first project delves into the study of certain algebraic properties of Lovász-Saks-Schrijver ideals and rings. Every simple finite graph G has an associated Lovász-Saks-Schrijver ring R_G(d) that is related to the d-dimensional orthogonal representations of G. We present a link between algebraic properties such as normality, factoriality and strong F-regularit...

Optimization Strategies for the Mitigation of the Impact of Inverter-based Resources on Transmission and Distribution Networks

This Ph.D. Thesis investigates the integration of Inverter-based Resources (IBRs) into modern power systems, focusing on challenges related to frequency and voltage support in the context of high Renewable Energy Sources (RESs) penetration. Innovative methodologies are developed to optimize the operation of IBRs in transmission and distribution networks, with a particular emphasis on the Italian scenario, thanks to the activities carried out in partnership with the Italian transmission system...

Investigating and Modeling Human Perceptual and Motor Mechanisms with Application in Rehabilitation through Human-Robot Interaction

This thesis investigates the role of prior experience in human sensory and motor behavior in individual and interactive contexts. The final aim of this research project is to describe human behavior through quantitative models and subsequently develop novel robotic technologies that could support humans in their everyday life. To address this objective, the first study of the thesis has the goal of studying and modeling the role of prior experience in perceptual and motor mechanisms during a...

Advances in Li-Ion battery packs Technologies for Electrification of Transports

In the current global scenario, growing awareness of environmental health and the urgency to address climate change have prompted both policymakers and technologists to prioritize decarbonization and develop strategies to reduce pollutants and Green House Gas (GHG) emissions. Among others, the European Community, by signing the Green Deal [1], has made climate neutrality (the zero emissions condition) legally binding for all Member Countries within 2050 and has put an intermediate object...