The ThermBuild dataset supplies real and simulated 15-minute thermal data from 960 residential buildings for data-driven modeling of heating systems and indoor climate.
Adapting to change: A comparison of continual and transfer learning for modeling building thermal dynamics under concept drifts.Energy and Buildings, 354:116868, 2026
2 Pith papers cite this work. Polarity classification is still indexing.
2
Pith papers citing it
years
2026 2verdicts
UNVERDICTED 2representative citing papers
BuilDyn supplies customizable excitation strategies and sampling tools to produce control-oriented datasets for machine learning models of building thermal dynamics.
citing papers explorer
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Real-world and simulated thermal data from 960 residential multi-zone buildings in Central Europe
The ThermBuild dataset supplies real and simulated 15-minute thermal data from 960 residential buildings for data-driven modeling of heating systems and indoor climate.
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BuilDyn: Excitation-Driven Data Generation for Building Thermal Dynamics Modeling and Control
BuilDyn supplies customizable excitation strategies and sampling tools to produce control-oriented datasets for machine learning models of building thermal dynamics.