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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Библиографические подробности
Главные авторы:	Duarte, Grasiele Regina, Fonseca, Leonardo Goliatt da, Goliatt, Priscila Vanessa Zabala Capriles, Lemonge, Afonso Celso de Castro
Формат:	Online
Язык:	eng
Опубликовано:	ANTAC - Associação Nacional de Tecnologia do Ambiente Construído 2017
Online-ссылка:	https://seer.ufrgs.br/ambienteconstruido/article/view/69635
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