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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| Главные авторы: | , , , |
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| Формат: | Online |
| Язык: | eng |
| Опубликовано: |
ANTAC - Associação Nacional de Tecnologia do Ambiente Construído
2017
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| Online-ссылка: | https://seer.ufrgs.br/ambienteconstruido/article/view/69635 |
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