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since, many aspects are still unresolved. In this PhD project we will build on recent developments around algorithmic (Kolmogorov) randomness to understand the emergence of the arrow of time in a more
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develop novel graph-based machine learning algorithms for state estimation of energy systems. The scientific challenge is to design a real-time state estimator for an active distribution system considering
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