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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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will develop an ecosystem of two interfaces: a web-based remote access interface for out-ofclass interaction with the emulated grid and a classroom-oriented live demonstration interface for real-time
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execution and natural language justification of automated decisions. Work plan: Phase 1: Data Preparation and Architecture (Preparation); Phase 2: Modeling and Algorithms (Analytical Development); Phase 3
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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