Please use this identifier to cite or link to this item:
https://hdl.handle.net/10216/167514Full metadata record
| DC Field | Value | Language |
|---|---|---|
| dc.creator | Bruno Palley | |
| dc.creator | João Poças Martins | |
| dc.creator | Hermano Bernanrdo | |
| dc.creator | Rosaldo J. F. Rossetti | |
| dc.date.accessioned | 2025-07-16T23:08:27Z | - |
| dc.date.available | 2025-07-16T23:08:27Z | - |
| dc.date.issued | 2025-06 | |
| dc.identifier.other | sigarra:731657 | |
| dc.identifier.uri | https://hdl.handle.net/10216/167514 | - |
| dc.language.iso | por | |
| dc.relation.ispartof | Book of Abstracts of DCE25 Symposium on Civil Engineering | |
| dc.rights | openAccess | |
| dc.title | Towards Machine-Learning-Based Digital Twins to Enhance Operation and Energy Management in Smart Buildings | |
| dc.type | Resumo de Comunicação em Conferência Nacional | |
| dc.contributor.uporto | Faculdade de Engenharia | |
| Appears in Collections: | FEUP - Resumo de Comunicação em Conferência Nacional | |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| 731657.pdf | resumo | 588.67 kB | Adobe PDF | ![]() View/Open |
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