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, and systematic evaluation of results. Objectives: Development and application of artificial intelligence algorithms for different use cases in the energy sector, e.g., forecasting of renewable energy
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teaching scenarios both supported on an existing Hardware-in-the-Loop (HIL) equipment, enabling students to deploy their own control algorithms, state eObjectives By the end of the three-month period, the
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plans. Supported by correlation algorithms applied to telemetry, irrigation, and nutrient data, information integrity is ensured for both regulatory purposes (through automated report generation) and the
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, and will have the following specific responsibilities: • Manual annotation of videos (L3 level with bounding boxes) of deep-sea biodiversity to train artificial intelligence (AI) algorithms and feed a