19th Cycle

AI-STABLEPOWER

AI-STABLEPOWER aims at developing methodologies for the analysis of power system stability by means of state-of-the-art artificial intelligence (AI) techniques. Indeed, monitoring stability is a major concern for Transmission System Operators (TSOs), as the ongoing displacement of conventional generators by renewable generation technologies has reduced system inertia, thus affecting system stability.

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AMBROSE

The AMBROSE project aims to address the challenge described above by introducing a modern, integrated, multidisciplinary SHM framework. This system will utilize automated monitoring, a combination of direct and indirect sensing methods, and advanced data analysis to detect structural issues early, enabling predictive maintenance and reducing the need for costly, urgent repairs.

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ARVI

The Augmented Reality Vehicle Interface (ARVI) project main goals are: enjoy a unique experience in a rapidly growing startup, learn by doing & get a working methodology, work on cool stuff, having the freedom to build new things from scratch. The project is designed for students that are willing to be out of their comfort zone, ready for complex tasks and to be hands-on.

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ASCloud – TC: All Sky Camera Cloud Type Classifier

The project aims to research, develop and implement a highly accurate 24/7 cloud-type classification system (CTCS). This classification system uses two advanced all-sky smart cameras that capture images in both visible and infrared domains, enabling accurate sky coverage classification. Smart all-sky cameras sensors refine and improve data collections and incorporate numerous measures to ensure a consistent data flow and minimize classification errors.

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