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sensing information, and radar-related sensing data. These inputs will be studied within a unified sensor/data fusion framework, with emphasis on how distributed sensing sources can be combined to enhance
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well as the thermal, hydraulic, and mechanical characteristics of each solution. Subsequently, an optimization algorithm will be developed with the objective of maximizing profitability. The algorithm will take as
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integrated modelling. The key role of the candidate focusses on investigating and implementing neuromorphic algorithms algorithms to dedicated photonic reconfigurable systems. Job is in the context of EU
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resources, including sensors, measurement systems, and IoT devices. In addition, the work involves the adaptation and implementation of the model using data from the Greek pilot in Kozani. WP3: TWIN4CITIES
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scientific/technical work focusing on modelling, simulation, algorithm development, data analysis, testing, or evaluation of complex technical or computational systems. Knowledge or experience in one or more
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the energy management algorithm will be carried out using benchmark power system networks (e.g., the IEEE 39-bus high-voltage system and the CIGRE medium-voltage network). Various grid operation