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.
Online model estimation for predictive thermal control of buildings.IEEE Transactions on Control Systems Technology, 25(4):1414–1422, 2017
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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.