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questions at the urban level. This includes analyzing the impact of climate change on urban energy demand, evaluating the distribution grid's capability to accommodate growing electricity demand, assessing
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-spectroscopy, and (extensional) rheology will be used to quantify different structure characteristics, ingredient and water distribution, and textural properties. The gained knowledge will be used to provide
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redistribute rainfall across the Amazon and thereby affect its internal forest-rainfall feedback. Conversely, changes in forest cover distributions would affect the energy and water balances in the Amazon, which
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, feedback optimization, distributed control, consensus protocols, nonlinear control, robust control, with application to energy systems (e.g. smart grids, district heating, hydrogen networks) and traffic