works on
building thermal dynamics 1energy prediction 1fault detection 1LSTM 1transfer learning 1

From the 1 of 9 linked papers with an AI index.

most citedGenTL: A General Transfer Learning Model for Building Thermal Dynamics

6 citations · 6 across the 5 of their papers we have counts for

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2 papers · 1 filter

cs.LG2025

State-Space Models for Tabular Prior-Data Fitted Networks

Felix Koch, Marcel Wever, Fabian Raisch +1

Recent advancements in foundation models for tabular data, such as TabPFN, demonstrated that pretrained Transformer architectures can approximate Bayesian inference with high predi…

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…