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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Bibliografische gegevens
Hoofdauteurs: Duarte, Grasiele Regina, Fonseca, Leonardo Goliatt da, Goliatt, Priscila Vanessa Zabala Capriles, Lemonge, Afonso Celso de Castro
Formaat: Online
Taal:eng
Gepubliceerd in: ANTAC - Associação Nacional de Tecnologia do Ambiente Construído 2017
Online toegang:https://seer.ufrgs.br/ambienteconstruido/article/view/69635
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