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    Hybrid-CGAN: A Hybrid Approach Combining Simulation and Generative Adversarial Networks for Fault Detection and Diagnosis in Buildings

    New search for: Han, Jintong
    New search for: Chong, Adrian

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    Hybrid-CGAN: A Hybrid Approach Combining Simulation and Generative Adversarial Networks for Fault Detection and Diagnosis in Buildings

    New search for: Han, Jintong
    New search for: Chong, Adrian

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    Hybrid-CGAN: A Hybrid Approach Combining Simulation and Generative Adversarial Networks for Fault Detection and Diagnosis in Buildings

    New search for: Han, Jintong
    New search for: Chong, Adrian

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    Title:

    Hybrid-CGAN: A Hybrid Approach Combining Simulation and Generative Adversarial Networks for Fault Detection and Diagnosis in Buildings

    Additional title:

    Energy and Buildings

    Contributors:

    Han, Jintong (author) / Chong, Adrian (author)

    Published in:

    Energy and Buildings ; 115531

    Publication date:

    2025-03-01

    ISSN:

    0378-7788

    DOI:

    https://doi.org/10.1016/j.enbuild.2025.115531

    Type of media:

    Article (Journal)

    Type of material:

    Electronic Resource

    Language:

    English

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