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and storage: Development and optimization of thin-film photovoltaic cell for low power applications in the IoT area (residential and personal equipment), contributing to the following project work
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applied to advanced production systems, and machine learning techniques, with particular application in the context of manufacturing systems for process optimization (1 to 5 points). D. Motivation letter
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machine learning techniques, with particular application in the context of manufacturing systems for process optimization (1 to 5 points). D. Motivation letter that will allow to evaluate the English
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for energy circuits, control systems, electromechanical systems, power and grid systems; optimization software for power system operation integrating smart grid technologies and new paradigms using forecasting
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project activity, foreseen in the application: 1) Optimization of the nanostructured electrochemical surface; 2) Evaluation of different strategies for signal amplification (FEUP/ CHUdSA). The selected