3 papers
cs.LG2024
Integrating Symbolic Neural Networks with Building Physics: A Study and Proposal
Xia Chen, Guoquan Lv, Xinwei Zhuang +3
Symbolic neural networks, such as Kolmogorov-Arnold Networks (KAN), offer a promising approach for integrating prior knowledge with data-driven methods, making them valuable for ad…
cs.CV2024
Encoding Urban Ecologies: Automated Building Archetype Generation through Self-Supervised Learning for Energy Modeling
Xinwei Zhuang, Zixun Huang, Wentao Zeng +1
As the global population and urbanization expand, the building sector has emerged as the predominant energy consumer and carbon emission contributor. The need for innovative Urban…
cs.LG2023
MARL: Multi-scale Archetype Representation Learning for Urban Building Energy Modeling
Xinwei Zhuang, Zixun Huang, Wentao Zeng +1
Building archetypes, representative models of building stock, are crucial for precise energy simulations in Urban Building Energy Modeling. The current widely adopted building arch…