Mr. LIU Xin (劉欣)

Research Output

  1. 2022
  2. Online published

    The Attention-assisted Ordinary Differential Equation Networks for Short-term Probabilistic Wind Power Predictions

    Liu, X., Yang, L. & Zhang, Z., 15 Oct 2022, In: Applied Energy. 324, 119794.

    Research output: Journal Publications and Reviews (RGC: 21, 22, 62)21_Publication in refereed journalpeer-review

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  3. Published

    System And Method for Monitoring A Device

    LIU, X. & ZHANG, Z., 19 Apr 2022, Patent No. US11,306,705, Priority No. 16/592,815

    Research output: Patents, Agreements and Assignments (RGC: 51, 52, 53)51_Patents granted (CityU only, data source from KTO)

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  4. 2021
  5. Published

    Short-term Multi-step Ahead Wind Power Predictions Based on A Novel Deep Convolutional Recurrent Network Method

    Liu, X., Yang, L. & Zhang, Z., Jul 2021, In: IEEE Transactions on Sustainable Energy. 12, 3, p. 1820-1833

    Research output: Journal Publications and Reviews (RGC: 21, 22, 62)21_Publication in refereed journalpeer-review

    Scopus citations: 3
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  6. Published

    A Two-Stage Deep Autoencoder-Based Missing Data Imputation Method for Wind Farm SCADA Data

    Liu, X. & Zhang, Z., 1 May 2021, In: IEEE Sensors Journal. 21, 9, p. 10933-10945

    Research output: Journal Publications and Reviews (RGC: 21, 22, 62)21_Publication in refereed journalpeer-review

    Scopus citations: 8
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  7. Published

    Short-term predictions of multiple wind turbine power outputs based on deep neural networks with transfer learning

    Liu, X., Cao, Z. & Zhang, Z., 15 Feb 2021, In: Energy. 217, 119356.

    Research output: Journal Publications and Reviews (RGC: 21, 22, 62)21_Publication in refereed journalpeer-review

    Scopus citations: 17
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  8. 2020
  9. Published

    A comparative study of the data-driven day-ahead hourly provincial load forecasting methods: From classical data mining to deep learning

    Liu, X., Zhang, Z. & Song, Z., Mar 2020, In: Renewable & Sustainable Energy Reviews. 119, 109632.

    Research output: Journal Publications and Reviews (RGC: 21, 22, 62)21_Publication in refereed journalpeer-review

    Scopus citations: 28
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  10. 2019
  11. Published

    A STATISTICAL LEARNING FRAMEWORK FOR THE INTELLIGENT IMPUTATION OF OFFSHORE WIND FARM MISSING SCADA DATA

    Liu, X., Zheng, Z., Zhang, Z. & Cao, Z., Oct 2019, 8th Renewable Power Generation Conference (RPG 2019). Institution of Engineering and Technology

    Research output: Chapters, Conference Papers, Creative and Literary Works (RGC: 12, 32, 41, 45)32_Refereed conference paper (with ISBN/ISSN)peer-review

    Scopus citations: 2
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