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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.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…