Transfer learning with pretraining-fine-tuning improves neural parameter estimation accuracy for building RC models by 18.6-49.4% over baselines while removing the need for initial parameter guesses.
Practical implementation and evaluation of model predictive control for an office building in brussels.Energy and Buildings, 111:290–298
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Transfer Learning for Neural Parameter Estimation applied to Building RC Models
Transfer learning with pretraining-fine-tuning improves neural parameter estimation accuracy for building RC models by 18.6-49.4% over baselines while removing the need for initial parameter guesses.