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...
保存先:
| 主要な著者: | , , , |
|---|---|
| フォーマット: | Online |
| 言語: | eng |
| 出版事項: |
ANTAC - Associação Nacional de Tecnologia do Ambiente Construído
2017
|
| オンライン･アクセス: | https://seer.ufrgs.br/ambienteconstruido/article/view/69635 |
| タグ: |
タグ追加
タグなし, このレコードへの初めてのタグを付けませんか!
|