Automation and optimization of in-situ assessment of wall thermal transmittance using a Random Forest algorithm
Reducing energy consumption and greenhouse gases emissions is among the main challenges of building sector. It is therefore crucial to know the characteristics of envelopes. There are experimental methods to determine thermal transmittance, but limitations are presented. By using techniques of artif...
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| Other Authors: | , , |
| Format: | article |
| Language: | eng |
| Published: |
2021
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| Subjects: | |
| Online Access: | http://hdl.handle.net/10400.1/16633 |
| Country: | Portugal |
| Oai: | oai:sapientia.ualg.pt:10400.1/16633 |