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Buildings and Cities: Difference between revisions
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*'''[[AI-guided building design and planning]]:''' Current building designs are drawn by the joined hands of the architect, mechanical, electrical, and control engineers using various computer-aided design tools. ML can help to navigate and optimize complex design landscapes, often balancing conflicting requirements such as energy efficiency, comfort, and cost.
*'''[[Sector-coupled districts and district heating systems]]''': To achieve decarbonization across the heating, electricity, and mobility sectors, they are increasingly coupled within districts in a joint spatial and organizational context. ML can help by providing surrogate models of thermal processes and quantify uncertainties of loads, supply, and mobility behavior.
*'''[[Surrogate
=== Urban planning ===
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* '''[[Understanding mobility patterns]]'''
* '''[[Enabling low-carbon shared mobility]]'''
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== Background Readings ==
=== Relevant IPCC chapters ===
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