Tag: Energy and Buildings
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BSEG’s latest paper, titled “Unsupervised domain adaptation for HVAC fault diagnosis using contrastive adaptation network”, published in Energy and Buildings journal
The reliance of data-driven fault detection and diagnosis (FDD) approaches on well-labeled datasets poses challenges in real-world applications, where such data may not be readily available. Our work explores domain adaptation as a solution, enabling the use of labeled data from a source domain (e.g., a laboratory testbed) to diagnose faults in an unlabeled target…