Comparison of machine learning techniques for predicting energy loads in buildings

Comparison of machine learning techniques for predicting energy loads in buildings

Machine learning methods can be used to help design energy-efficient buildings reducing energy loads while maintaining the desired internal temperature. They work by estimating a response from a set of inputs such as building geometry, material properties, project costs, local weather conditions, as...

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Detaylı Bibliyografya
Asıl Yazarlar:	Duarte, Grasiele Regina, Fonseca, Leonardo Goliatt da, Goliatt, Priscila Vanessa Zabala Capriles, Lemonge, Afonso Celso de Castro
Materyal Türü:	Online
Dil:	eng
Baskı/Yayın Bilgisi:	ANTAC - Associação Nacional de Tecnologia do Ambiente Construído 2017
Online Erişim:	https://seer.ufrgs.br/ambienteconstruido/article/view/69635
Etiketler:	Etiketle Etiket eklenmemiş, İlk siz ekleyin!

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