Personal profile
Author IDs
ORCID iD: 0000-0001-8757-2658
Biography
Xin Liu received his B.Sc. degree in Industrial Engineering from Beijing Institute of Technology, Beijing, China, in 2016. He is currently working toward the Ph.D. degree at the School of Data Science, City University of Hong Kong, Kowloon, Hong Kong. His research interests include data mining, wind power prediction, and missing data imputation.
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Expertise related to UN Sustainable Development Goals
In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):
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SDG 7 Affordable and Clean Energy -
SDG 9 Industry, Innovation, and Infrastructure
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Collaborations from the last five years
Research output
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System And Method for Monitoring A Device
LIU, X. (Inventor) & ZHANG, Z. (Inventor), 19 Apr 2022, Patent No. US11,306,705, Priority No. 16/592,815Research output: Patents, Agreements and Assignments › RGC 51 - Patents (CityUHK)
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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 - Publication in refereed journal › peer-review
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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. 10933-10945Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review
66 Link opens in a new tab Citations (Scopus) -
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. 1820-1833Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review
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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 - Publication in refereed journal › peer-review
80 Link opens in a new tab Citations (Scopus)
Prizes
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The third prize of Digital China Innovation Contest, DCIC 2019
LIU, X. (Recipient) & ZHENG, Z. (Recipient), 9 May 2019
Prize: RGC 64B - Prizes and awards
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Outstanding Academic Performance Award for Research Degree Students (non-local UGC-funded students)
LIU, X. (Recipient), 16 Aug 2020
Prize: RGC 64B - Prizes and awards
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Activities
- 1 Conference / Symposium
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2019 INFORMS International Conference
LIU, X. (Presenter)
9 Jun 2019 → 12 Jun 2019Activity: Organizing or Participating in a conference / an event › Conference / Symposium
Thesis
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Advanced Wind Power Predictions Based on Deep Learning
LIU, X. (Author), ZHANG, Z. (Supervisor), 19 Jul 2021Student thesis: Doctoral Thesis