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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                  | Glavni autori: | , , , | 
|---|---|
| Format: | Online | 
| Jezik: | eng | 
| Izdano: | ANTAC - Associação Nacional de Tecnologia do Ambiente Construído
    
      2017 | 
| Online pristup: | https://seer.ufrgs.br/ambienteconstruido/article/view/69635 | 
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