Assessing seasonal building thermal adaptation through the acclimatization distance: a GIS-based machine learning framework

IntroductionEnhancing the capacity of residential buildings for maintaining thermal comfort under changing climate conditions is crucial to reducing energy demand and increasing urban resilience. While extensive research has been conducted on energy efficiency at the building scale, less attention h...

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Ngā kaituhi matua:	Daniel Jato-Espino, Francisco Requena-Crespo, Fabio Capra-Ribeiro, Vanessa Moscardó, Maysel Castillo-García
Hōputu:	Artigo
Reo:	Inglês
I whakaputaina:	Frontiers Media S.A. 2026-04-01
Rangatū:	Frontiers in Sustainable Cities
Ngā marau:	acclimatization distance building thermal performance climate-adaptive design geographic information system machine learning seasonal asymmetry
Urunga tuihono:	https://www.frontiersin.org/articles/10.3389/frsc.2026.1771368/full
Ngā Tūtohu:	Tāpirihia he Tūtohu Kāore He Tūtohu, Me noho koe te mea tuatahi ki te tūtohu i tēnei pūkete!