TOM.D: Taking advantage of microclimate data for urban building energy modeling

Advances in Applied Energy（2023）

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摘要

•Landsat8’s thermal sensors improve CV(RMSE) by 4 points relative to EPW.•CMIP projections may be valuable to simulate the impact of climate change on cities.•Remote sensing benefits for building energy prediction are highly seasonal.•Extreme temperatures accelerate the consumption of energy, seen with remote sensing.

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关键词

Urban microclimate, Remote sensing, Machine learning, Land surface temperature, Climate model, Urban heat island

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