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Università degli studi di Roma La Sapienza Dipartimento di Pianificazione Design tecnologia dell'architettura | Italy | 9 days ago
Description he Project is aimed at developing an "Energy Intelligence Data Platform" applied to the management of smart grids that optimize the production from Renewable Energy Sources (RES) and the uses
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will focus on models and algorithms for the intelligent control of bidirectional energy flows, the integration of vehicles into microgrids and smart grids, and the provision of ancillary services such as
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sector, renewable energies, energy efficiency, storage, and smart grids: 3 points. Experience in research data management plans, ethical and gender aspects in research and research projects, and open
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Experiència en promoció i preparació de propostes nacionals: 7 punts Experiència en el sector de l’energia, energies renovables, eficiència energètica, emmagatzematge i smart grids: 3 punts Experiència en
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or equivalent Specific Requirements PhD from Electrical Engineering Very good publication record Experience in Power System Simulation (distributed generation, smart grids, power system stability
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. Electricity of the future will bind together generation, energy storage and demand through communications and artificial intelligence forming a low-carbon smart grid. However, this vision is only achievable
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sustainable power train solutions, combustion engine technology and alternative fuels, energy storage solutions and flexible energy resources, as well as energy markets and smart grids. Your role As Project
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learning; d.) Gride Modernization & Smart Grid Technologies, advanced metering infrastructure (AMI) data analytics, demand response optimization using AI, microgrid control and islanding strategies. Key
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deployment enabling validation and demonstration of real-world applications. For more details, please view https://www.ntu.edu.sg/erian Multi-Energy System & Grids Team is looking for a Research Fellow in
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environment capable of predicting the most convenient location to place the electric vehicle (EV) charging stations and optimize both the usage of the power grid resources, and the charging stations