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...
Gespeichert in:
| Hauptverfasser: | , , , |
|---|---|
| Format: | Online |
| Sprache: | eng |
| Veröffentlicht: |
ANTAC - Associação Nacional de Tecnologia do Ambiente Construído
2017
|
| Online Zugang: | https://seer.ufrgs.br/ambienteconstruido/article/view/69635 |
| Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|