Parametric BIM and Machine Learning for Solar Radiation Prediction in Smart Growth Urban Developments
Urban energy simulation research has been explored to forecast the impact of urban developments on energy footprints. However, the achievement of accuracy, scalability, and applicability is still unfulfilled in addressing site-specific conditions and unbuilt development scenarios. This research aims...
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| Main Authors: | Seongchan Kim, Jong Bum Kim |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2024-12-01
|
| Series: | Architecture |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2673-8945/5/1/4 |
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