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Found 3 papers, 1 papers with code
Encoding Urban Ecologies: Automated Building Archetype Generation through Self-Supervised Learning for Energy Modeling
As the global population and urbanization expand, the building sector has emerged as the predominant energy consumer and carbon emission contributor.
MARL: Multi-scale Archetype Representation Learning for Urban Building Energy Modeling
Building archetypes, representative models of building stock, are crucial for precise energy simulations in Urban Building Energy Modeling.
Multi-view reconstruction of bullet time effect based on improved NSFF model
By using the optical flow prediction information to suppress the dynamic network timely, the network is forced to improve the reconstruction effect of dynamic and static networks independently, and the ability to understand and reconstruct dynamic and static scenes is improved.
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