Buildings and Cities: Difference between revisions

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=== Optimizing buildings ===
=== Optimizing buildings ===


*'''[[Energy Demand Forecasting|Forecasting energy loads]]:'''
*'''[[Energy Demand Forecasting|Forecasting energy loads]]:''' The supply and demand of power must both be forecast ahead of time to inform electricity planning and scheduling. ML can help make these forecasts more accurate, improve temporal and spatial resolution, and quantify uncertainty.
*'''[[Device usage patterns analysis]]:'''
*'''[[Device usage patterns analysis]]:'''
*'''[[Controlling HVAC and lighting systems]]:'''
*'''[[Controlling HVAC and lighting systems]]:'''
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*'''[[Demand response]] and [[energy social games]]:'''
*'''[[Demand response]] and [[energy social games]]:'''
*'''[[AI-guided building design and planning]]:'''
*'''[[AI-guided building design and planning]]:'''
*'''[[Sector-coupled districts and district heating systems]]''': To achieve decarbonization across the heating and power supply and the mobility sector, they are increasingly coupled within districts in a joint spatial and organizational context. ML by providing surrogate models of thermal processes and quantify uncertainties of loads, supply and mobility behavior.
*'''[[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 modelling]]''':
*'''[[Surrogate modelling]]''':


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