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cs.LG2026
NeuralBES: A Differentiable, Control-Aware Emulator for Scalable Building Energy Modeling
Ting-Yu Dai, Takuya Kurihana, Wing Yee Au +1
Demand-side flexibility i.e. forecasting, shifting, and curtailing residential energy loads, depends on thermal models trusted across millions of heterogeneous buildings. Existing…
cs.LG2025
Harnessing Rich Multi-Modal Data for Spatial-Temporal Homophily-Embedded Graph Learning Across Domains and Localities
Takuya Kurihana, Xiaojian Zhang, Wing Yee Au +1
Modern cities are increasingly reliant on data-driven insights to support decision making in areas such as transportation, public safety and environmental impact. However, city-lev…