Exploring machine learning-based archetypes for urban life cycle modeling (UBiM)
Urban analyses demand simplifications that balance modelling level of detail and scope broadness. Thus, classification by archetypes is a promising methodological approach. Such an approach is common for energy studies but rarely applied for Life Cycle Assessment (LCA) purposes. When archetypes are...
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| Main Authors: | , |
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| 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/8295 |
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