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Neural Parameter Estimation of RC Thermal Building Models for Model Predictive Control

US & West · yesterday

arXiv:2604.05904v2 Announce Type: replace Abstract: Gray-box RC models are widely used to enable energy-efficient model predictive control (MPC) in buildings. However, estimating RC parameters remains difficult, as conventional optimization-based algorithms are prone to local minima, rely heavily…

Original headline: Neural Parameter Estimation of RC Thermal Building Models for Model Predictive Control

Read the original: arXiv — Systems and Control (eess.SY)

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Neural Parameter Estimation of RC Thermal Building Models for Model Predictive Control

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