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A highly configurable framework for large-scale thermal building data generation to drive machine learning research

Krug, Thomas; Raisch, Fabian; Aimer, Dominik; Wirnsberger, Markus; Sigg, Ferdinand...

SIMULATION.
DOI: 10.1177/00375497261465009


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BuilDyn: Excitation-Driven Data Generation for Building Thermal Dynamics Modeling and Control

Koch, Felix; Krug, Thomas; Raisch, Fabian; Schäfer, Benjamin; Tischler, Benjamin (2026)


DOI: 10.1145/3765611.3815432


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Thermal-GEMs: Generalized Models for Building Thermal Dynamics

Koch, Felix; Raisch, Fabian; Tischler, Benjamin (2026)


DOI: 10.1145/3744256.3812565


mehr

Adapting to change: A comparison of continual and transfer learning for modeling building thermal dynamics under concept drifts

Raisch, Fabian; Langtry, Max; Koch, Felix; Choudhary, Ruchi; Goebel, Christoph...

Energy and Buildings.
DOI: 10.1016/j.enbuild.2025.116868


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Thermal-GEMs Generalized Models for Building Thermal Dynamics

Koch, Felix; Raisch, Fabian; Tischler, Benjamin (2026)

Arxiv.
DOI: 10.48550/arXiv.2604.16443


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Transfer Learning for Neural Parameter Estimation applied to Building RC Models

Raisch, Fabian; Germann, T; Kutz, J; Goebel, Christoph; Tischler, Benjamin (2026)

Arxiv.
DOI: 10.48550/arXiv.2604.05904


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Builda: A Thermal Building Data Generation Framework for Transfer Learning

Krug, Thomas; Raisch, Fabian; Aimer, Dominik; Wirnsberger, Markus; Sigg, Ferdinand...

Simulation Series, 329-341.


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State-Space Models for Tabular Prior-Data Fitted Networks

Koch, Felix; Wever, Marcel; Raisch, Fabian; Tischler, Benjamin (2025)

1st ICML Workshop on Foundation Models for Structured Data.



GenTL: A General Transfer Learning Model for Building Thermal Dynamics

Raisch, Fabian; Krug, Thomas; Goebel, Christoph; Tischler, Benjamin (2025)


DOI: 10.1145/3679240.3734589


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A Highly Configurable Framework for Large-Scale Thermal Building Data Generation to drive Machine Learning Research

Krug, Thomas; Raisch, Fabian; Aimer, Dominik; Wirnsberger, Markus; Sigg, Ferdinand...

arXiv preprint arXiv:2512.00483.



A Highly Configurable Framework for Large-Scale Thermal Building Data Generation to drive Machine Learning Research

Krug, Thomas; Raisch, Fabian; Aimer, Dominik; Wirnsberger, Markus; Sigg, Ferdinand...


mehr

A Highly Configurable Framework for Large-Scale Thermal Building Data Generation to drive Machine Learning Research

Krug, Thomas; Raisch, Fabian; Aimer, Dominik; Wirnsberger, Markus; Sigg, Ferdinand...

Arxiv.
DOI: 10.48550/arXiv.2512.00483


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BUILDA: A THERMAL BUILDING DATA GENERATION FRAMEWORK FOR TRANSFER LEARNING

Krug, Thomas; Raisch, Fabian; Aimer, Dominik; Wirnsberger, Markus; Sigg, Ferdinand...

Arxiv.
DOI: 10.48550/arXiv.2508.12703


mehr

Adapting to Change: A Comparison of Continual and Transfer Learning for Modeling Building Thermal Dynamics under Concept Drifts

Raisch, Fabian; Langtry, M; Koch, Felix; Choudhary, R; Goebel, Christoph...

Arxiv.
DOI: 10.48550/arXiv.2508.21615


mehr

GenTL: A General Transfer Learning Model for Building Thermal Dynamics

Raisch, Fabian; Krug, Thomas; Goebel, Christoph; Tischler, Benjamin (2025)

Arxiv.
DOI: 10.48550/arXiv.2501.13703


mehr

State-Space Models for Tabular Prior-Data Fitted Networks

Koch, Felix; Wever, M; Raisch, Fabian; Tischler, Benjamin (2025)

Arxiv.
DOI: 10.48550/arXiv.2510.14573


mehr

M.Sc. Fabian Raisch


Technische Hochschule Rosenheim

Zentrum für Forschung, Entwicklung und Transfer
Hochschulstraße 1
83024 Rosenheim

fabian.raisch[at]th-rosenheim.de

ORCID iD: 0000-0003-1869-9801