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Entropy switch for Bayesian thermal network discovery
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DOI:10.1016/j.ijthermalsci.2026.111148.png)
Abstract
En 中文
• A novel representation of thermal resistance-capacitance network is proposed. • A thermodynamics-based entropy switch is introduced for Bayesian network discovery. • A combined prior on parameter and model form is adopted. • The framework is evaluated on a 4R3C synthetic example and two real building case studies.
Keywords:
RC network
Bayesian inference
Model form uncertainty
Network discovery
Uncertainty quantification
Multimodal posterior
Journal
IF:
5
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8.5K
Citations:
2.5W
