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exploratory research approach involving longitudinal case studies and participatory action research (PAR) in a set of use cases with energy community projects ranging from smart grid experimentation and energy
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adopts a qualitative exploratory research approach involving longitudinal case studies and participatory action research (PAR) in a set of use cases with energy community projects ranging from smart grid
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a set of use cases with energy community projects ranging from smart grid experimentation and energy sharing in rural regions in the Netherlands to developing an energy community in Amsterdam
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optimization lab (EES EMPDO lab). The former focuses on intelligent energy network research, including: demand management and flexibility, digital twinning, data analytics, smart grid ICT architectures and
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on intelligent energy network research, including: demand management and flexibility, digital twinning, data analytics, smart grid ICT architectures and systems integration in multi energy systems. The latter
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optimization lab (EES EMPDO lab). The former focuses on intelligent energy network research, including: demand management and flexibility, digital twinning, data analytics, smart grid ICT architectures and
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energy network research, including: demand management and flexibility, digital twinning, data analytics, smart grid ICT architectures and systems integration in multi energy systems. The latter specializes
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on turning high-quality (smart meter, grid, or weather) data into actionable insights and better-informed decisions through advanced data analytics. When this energy data is shared, it can be exploited by
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sciences, computer science) PhD close to completion in field of Power Systems, Smart Grids, Power Electronics and Control, or related discipline (upon PhD completion, will transition to Research Associate
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systems and cyber-physical environments. The lab includes autonomous robots, ABB robots with interchangeable grippers, distributed control systems, and testbeds for smart grids and real-time simulations