Impact of the COVID-19 pandemic on the energy performance of residential neighborhoods and their occupancy behavior

Sustainable Cities and Society(2022)

引用 15|浏览10
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摘要
•Exploring Covid-19 impacts on energy performance and user behavior at urban level.•A dynamic GIS-based energy model to simulate the hourly energy demand.•A machine learning model to improve the accuracy of energy simulations.•During the full lockdown residential space heating increased by around 13%.•During the full lockdown residential cooling demand increased by around 28%.
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关键词
COVID-19 pandemic,GIS,Space heating and cooling,Random forest,Occupancy profile,Urban morphology
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