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of energy demand within residential and commercial sectors, models of renewable energy sources, models of energy networks including electricity, heat and gas. On the algorithms side, the management algorithms
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addition, these systems generate a vast amount of data which can be modelled as signals or features over these graphs. This is for instance the case of infrastructure networks such as water, energy and
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these advancements in case studies focusing on the North Sea: 1) Innovative temporal aggregation techniques: properly valuing long-duration storage in systems dominated by variable renewable energy sources requires
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m - 10 km) has sparked renewed interest across atmospheric and ocean scientists in recent years. How does this diverse wind structure influence the exchange of energy and momentum through the air-sea
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a unique opportunity to contribute to the future of renewable energy and make a lasting impact, by ensuring efficient and flawless wind turbine blade production. This position is part of the Efficient
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the infrastructure while facilitating new business models that will accelerate the deployment of renewable energy sources in Europe. The vision of TwinEU is to enable new technologies to foster an advanced concept