Energy performance estimation for large building portfolios with machine learning-based techniques
Building operation is responsible for 28% of the world’s carbon emissions. In this context, establishing priorities in refurbishment strategies at the scale of a city or a group of buildings is important. Such procedures are usually led by experts in energy performance and, therefore, they are rarel...
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| Main Authors: | Frédéric Montet, Alessandro Pongelli, Jonathan Rial, Stefanie Schwab, Jean Hennebert, Thomas Jusselme |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Czech Technical University in Prague
2022-12-01
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| Series: | Acta Polytechnica CTU Proceedings |
| Subjects: | |
| Online Access: | https://ojs.cvut.cz/ojs/index.php/APP/article/view/8429 |
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