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Jiajing Huang ORCID

Die folgende Bibliografie enthält alle in dieser Datenbank indizierten Veröffentlichungen, die mit diesem Namen als Autor, Herausgeber oder anderweitig Beitragenden verbunden sind.

  1. Li, Guowen / Ren, Lingyu / Pradhan, Ojas / O’Neill, Zheng / Wen, Jin / Yang, Zhiyao / Fu, Yangyang / Chu, Mengyuan / Huang, Jiajing / Wu, Teresa / Candan, K. Selçuk / Adetola, Veronica / Zhu, Qi (2024): Emulation and detection of physical faults and cyber-attacks on building energy systems through real-time hardware-in-the-loop experiments. In: Energy and Buildings, v. 320 (Oktober 2024).

    https://doi.org/10.1016/j.enbuild.2024.114596

  2. Pradhan, Ojas / Wen, Jin / Hälleberg, David / Chen, Zhelun / Varman, Noresh / Huang, Jiajing / Wu, Teresa / Candan, K. Selçuk / O’Neill, Zheng (2024): Evaluation of data imputation approaches for multi-stream building systems data 1. In: Science and Technology for the Built Environment, v. 30, n. 8 (31 Juli 2024).

    https://doi.org/10.1080/23744731.2024.2351311

  3. Huang, Jiajing / Ghalamsiah, Naghmeh / Patharkar, Abhidnya / Pradhan, Ojas / Chu, Mengyuan / Wu, Teresa / Wen, Jin / O’Neill, Zheng / Selcuk Candan, Kasim (2024): An entropy-based causality framework for cross-level faults diagnosis and isolation in building HVAC systems. In: Energy and Buildings, v. 317 (August 2024).

    https://doi.org/10.1016/j.enbuild.2024.114378

  4. Huang, Jiajing / Yoon, Hyunsoo / Pradhan, Ojas / Wu, Teresa / Wen, Jin / O’Neill, Zheng / Selcuk Candan, Kasim (2022): A cosine-based correlation information entropy approach for building automatic fault detection baseline construction. In: Science and Technology for the Built Environment, v. 28, n. 9 (August 2022).

    https://doi.org/10.1080/23744731.2022.2080110

  5. Huang, Jiajing / Wen, Jin / Yoon, Hyunsoo / Pradhan, Ojas / Wu, Teresa / O'Neill, Zheng / Selcuk Candan, Kasim (2022): Real vs. simulated: Questions on the capability of simulated datasets on building fault detection for energy efficiency from a data-driven perspective. In: Energy and Buildings, v. 259 (März 2022).

    https://doi.org/10.1016/j.enbuild.2022.111872

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