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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Opis bibliograficzny
Główni autorzy:	Duarte, Grasiele Regina, Fonseca, Leonardo Goliatt da, Goliatt, Priscila Vanessa Zabala Capriles, Lemonge, Afonso Celso de Castro
Format:	Online
Język:	eng
Wydane:	ANTAC - Associação Nacional de Tecnologia do Ambiente Construído 2017
Dostęp online:	https://seer.ufrgs.br/ambienteconstruido/article/view/69635
Etykiety:	Dodaj etykietę Nie ma etykietki, Dołącz pierwszą etykiete!

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