Search Results for author:
Found 2 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.
Cannot find the paper you are looking for? You can
Submit a new open access paper.
