3 papers
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
Can Machine Learning Uncover Insights into Vehicle Travel Demand from Our Built Environment?
Zixun Huang, Hao Zheng
In this paper, we propose a machine learning-based approach to address the lack of ability for designers to optimize urban land use planning from the perspective of vehicle travel…
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…