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Fabian Raisch
Observed name:
Raisch, Fabian
Institutions:
Rosenheim Technical University of Applied Sciences,
Technical University of Munich
Observed institutions:
Rosenheim Technical University of Applied Sciences,
Technical University of Munich
ORCID:
0000-0003-1869-9801
Observed ORCID:
0000-0003-1869-9801
OpenAlex ID:
A5116019670
GenTL: A General Transfer Learning Model for Building Thermal Dynamics
2025
·
Fabian Raisch
, Thomas Krug
, et al.
·
ACM International Conference on Future Energy Systems (e-Energy)
·
13
PDF
Adapting to change: A comparison of continual and transfer learning for modeling building thermal dynamics under concept drifts
2025
·
Fabian Raisch
, Max Langtry
, et al.
·
Energy and Buildings
·
9
A highly configurable framework for large-scale thermal building data generation to drive machine learning research
2026
·
Thomas Krug
, Fabian Raisch
, et al.
·
SIMULATION
·
6
Thermal-GEMs: Generalized Models for Building Thermal Dynamics
2026
·
Felix Koch
, Fabian Raisch
, et al.
·
ACM International Conference on Systems for Energy-Efficient Buildings, Cities, and Transportation (BuildSys)
·
4
Neural Parameter Estimation of RC Thermal Building Models for Model Predictive Control
2026
·
Raisch, Fabian
, Germann, Timo
, et al.
·
arXiv (Cornell University)
·
4
PDF
Counter-Dyna: Data-Efficient RL-Based HVAC Control using Counterfactual Building Models
2026
·
de Vargas, Jan Marco Ruiz
, Raisch, Fabian
, et al.
·
arXiv (Cornell University)
·
3
PDF
BUILDA: A Thermal Building Data Generation Framework for Transfer Learning
2025
·
Krug, Thomas
, Raisch, Fabian
, et al.
·
arXiv (Cornell University)
·
2
PDF
Very Exciting: Zero-Shot Model Predictive Control of Buildings via Excitation-Based Generalized Transfer Learning Models
2026
·
Raisch, Fabian
, Koch, Felix
, et al.
·
arXiv (Cornell University)
·
1
PDF
BuilDyn: Excitation-Driven Data Generation for Building Thermal Dynamics Modeling and Control
2026
·
Felix Koch
, Thomas Krug
, et al.
·
ACM Sustainability Week
·
1
Real-world and simulated thermal data from 960 residential multi-zone buildings in Central Europe
2026
·
Raisch, Fabian
, Kersken, Matthias
, et al.
·
arXiv (Cornell University)
·
1
PDF
ThermBuild: Real-world and simulated thermal data from 960 residential multi-zone buildings in Central Europe
2026
·
Kersken, Matthias
, Raisch, Fabian
, et al.
·
Fraunhofer-Publica (Fraunhofer-Gesellschaft)
·
1
A highly configurable framework for large-scale thermal building data generation to drive machine learning research
2026
·
Krug, Thomas
, Raisch, Fabian
, et al.
·
KITopen
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Works count:
13
Citation count:
52
H-index:
4
I10-index:
1
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