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Benjamin Tischler

Observed name: Tischler, Benjamin
ORCID: 0000-0002-6274-8036
Observed ORCID: 0000-0002-6274-8036
OpenAlex ID: A5116019672
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
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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
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BUILDA: A Thermal Building Data Generation Framework for Transfer Learning
2025 · Krug, Thomas, Raisch, Fabian, et al. · arXiv (Cornell University) · 2
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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
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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
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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
Works count: 12
Citation count: 49
H-index: 4
I10-index: 1
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