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integrating modeling, machine learning (ML), and advanced control methodologies. The research will focus on designing AI-driven algorithms to assess battery health, predict degradation trends, and optimize
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comfort throughout the year in a Nordic climate? Is it possible to predict dynamic outdoor thermal comfort with sufficient accuracy using fast parametric algorithms and machine learning (ML) models instead
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within the broader context of Industry 4.0 and is part of an ongoing initiative to enable predictive diagnostics for electrical machines. The research The increasing need for predictive maintenance in
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Rotterdam, and Delft University of Technology, among others. 2. Description of the PhD Project The rapid diffusion of AI-enabled systems in cities – from predictive maintenance of infrastructure