2 papers
eess.SY2025
A Highly Configurable Framework for Large-Scale Thermal Building Data Generation to drive Machine Learning Research
Thomas Krug, Fabian Raisch, Dominik Aimer +5
Data-driven modeling of building thermal dynamics is emerging as an increasingly important field of research for large-scale intelligent building control. However, research in data…
cs.LG2025
BUILDA: A Thermal Building Data Generation Framework for Transfer Learning
Thomas Krug, Fabian Raisch, Dominik Aimer +4
Transfer learning (TL) can improve data-driven modeling of building thermal dynamics. Therefore, many new TL research areas emerge in the field, such as selecting the right source…