A Collaborative Data-driven Methodology for Improving Wind Farm Operations and Maintenance

Project: Research

Research Output

  1. 2023
  2. Published

    Generative Wind Power Curve Modeling Via Machine Vision: A Deep Convolutional Network Method with Data-Synthesis-Informed-Training

    Yang, L., Wang, L. & Zhang, Z., Mar 2023, In: IEEE Transactions on Power Systems. 38, 2, p. 1111-1124

    Research output: Journal Publications and ReviewsRGC 21 - Publication in refereed journalpeer-review

    Scopus citations: 9
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  3. Published

    A Deep Generative Approach for Rail Foreign Object Detections via Semi-supervised Learning

    Wang, T., Zhang, Z. & Tsui, K., Jan 2023, In: IEEE Transactions on Industrial Informatics. 19, 1, p. 459-468

    Research output: Journal Publications and ReviewsRGC 21 - Publication in refereed journalpeer-review

    Scopus citations: 20
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  4. 2022
  5. Published

    Early-stage lifetime prediction for lithium-ion batteries: A deep learning framework jointly considering machine-learned and handcrafted data features

    Fei, Z., Zhang, Z., Yang, F., Tsui, K. & Li, L., 15 Aug 2022, In: Journal of Energy Storage. 52, B, 104936.

    Research output: Journal Publications and ReviewsRGC 21 - Publication in refereed journalpeer-review

    Scopus citations: 17
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  6. Published

    The Automatic Rail Surface Multi-Flaw Identification Based on a Deep Learning Powered Framework

    Zhuang, L., Qi, H. & Zhang, Z., Aug 2022, In: IEEE Transactions on Intelligent Transportation Systems. 23, 8, p. 12133-12143

    Research output: Journal Publications and ReviewsRGC 21 - Publication in refereed journalpeer-review

    Scopus citations: 21
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  7. Published

    A holistic robust method for optimizing multi-timescale operations of a wind farm with energy storages

    Zhang, B., Xu, G. & Zhang, Z., 1 Jul 2022, In: Journal of Cleaner Production. 356, 131793.

    Research output: Journal Publications and ReviewsRGC 21 - Publication in refereed journalpeer-review

    Scopus citations: 5
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  8. Published

    A Continual Learning-based Framework for Developing A Single Wind Turbine Cybertwin Adaptively Serving Multiple Modeling Tasks

    Yang, L., Wang, L., Zheng, Z. & Zhang, Z., Jul 2022, In: IEEE Transactions on Industrial Informatics. 18, 7, p. 4912-4921 10 p.

    Research output: Journal Publications and ReviewsRGC 21 - Publication in refereed journalpeer-review

    Scopus citations: 14
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  9. Published

    A Deep Attention Convolutional Recurrent Network Assisted by K-shape Clustering and Enhanced Memory for Short Term Wind Speed Predictions

    Yang, L. & Zhang, Z., Apr 2022, In: IEEE Transactions on Sustainable Energy. 13, 2, p. 856-867

    Research output: Journal Publications and ReviewsRGC 21 - Publication in refereed journalpeer-review

    Scopus citations: 25
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  10. Published

    An Improved Mixture Density Network via Wasserstein Distance Based Adversarial Learning for Probabilistic Wind Speed Predictions

    Yang, L., Zheng, Z. & Zhang, Z., Apr 2022, In: IEEE Transactions on Sustainable Energy. 13, 2, p. 755-766 12 p.

    Research output: Journal Publications and ReviewsRGC 21 - Publication in refereed journalpeer-review

    Scopus citations: 6
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  11. Published

    Denoising temporal convolutional recurrent autoencoders for time series classification

    Zheng, Z., Zhang, Z., Wang, L. & Luo, X., Apr 2022, In: Information Sciences. 588, p. 159-173

    Research output: Journal Publications and ReviewsRGC 21 - Publication in refereed journalpeer-review

    Scopus citations: 16
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  12. Published

    Generative Probabilistic Wind Speed Forecasting: A Variational Recurrent Autoencoder Based Method

    Zheng, Z., Wang, L., Yang, L. & Zhang, Z., Mar 2022, In: IEEE Transactions on Power Systems. 37, 2, p. 1386-1398

    Research output: Journal Publications and ReviewsRGC 21 - Publication in refereed journalpeer-review

    Scopus citations: 17
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  13. Published

    Automatic Rail Component Detection Based on AttnConv-net

    Wang, T., Zhang, Z., Yang, F. & Tsui, K., 1 Feb 2022, In: IEEE Sensors Journal. 22, 3, p. 2379-2388

    Research output: Journal Publications and ReviewsRGC 21 - Publication in refereed journalpeer-review

    Scopus citations: 9
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  14. 2021
  15. Published

    A robust model for scheduling power productions of multiple offshore wind farms using one-to-many maintenance services

    Zhang, B. & Zhang, Z., 5 Oct 2021, In: IET Renewable Power Generation. 15, 13, p. 2997-3013

    Research output: Journal Publications and ReviewsRGC 21 - Publication in refereed journalpeer-review

    Scopus citations: 2
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  16. Published

    A Conditional Convolutional Autoencoder-Based Method for Monitoring Wind Turbine Blade Breakages

    Yang, L. & Zhang, Z., Sept 2021, In: IEEE Transactions on Industrial Informatics. 17, 9, p. 6390-6398 9146603.

    Research output: Journal Publications and ReviewsRGC 21 - Publication in refereed journalpeer-review

    Scopus citations: 57
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  17. Published

    A two-stage model for asynchronously scheduling offshore wind farm maintenance tasks and power productions

    Zhang, B. & Zhang, Z., Sept 2021, In: International Journal of Electrical Power & Energy Systems. 130, 107013.

    Research output: Journal Publications and ReviewsRGC 21 - Publication in refereed journalpeer-review

    Scopus citations: 14
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  18. 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 ReviewsRGC 21 - Publication in refereed journalpeer-review

    Scopus citations: 36
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  19. 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 ReviewsRGC 21 - Publication in refereed journalpeer-review

    Scopus citations: 29
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  20. 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 ReviewsRGC 21 - Publication in refereed journalpeer-review

    Scopus citations: 45
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  21. Published

    The optimal hourly electricity price considering wind electricity uncertainty based on conditional value at risk

    Qiao, H., Zhang, Z. & Su, Q., 2021, In: International Journal of Green Energy. 18, 5, p. 512-524

    Research output: Journal Publications and ReviewsRGC 21 - Publication in refereed journalpeer-review

    Scopus citations: 4
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  22. Published

    The variational kernel-based 1-D convolutional neural network for machinery fault diagnosis

    Mo, Z., Zhang, Z. & Tsui, K., 2021, In: IEEE Transactions on Instrumentation and Measurement. 70, 3523210.

    Research output: Journal Publications and ReviewsRGC 21 - Publication in refereed journalpeer-review

    Scopus citations: 30
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  23. Published

    Wind Turbine Gearbox Failure Detection Based on SCADA Data: A Deep Learning Based Approach

    Yang, L. & Zhang, Z., 2021, In: IEEE Transactions on Instrumentation and Measurement. 70, 3507911.

    Research output: Journal Publications and ReviewsRGC 21 - Publication in refereed journalpeer-review

    Scopus citations: 68
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