Dr. YANG Luoxiao (楊駱霄)
Research Output
- 2024
- Accepted/In press/Filed
Wind Power Generation Forecasting
ZHAO, X. (Inventor), YANG, L. (Inventor) & ZHANG, Z. (Inventor), 3 Jun 2024, (Accepted/In press/Filed) Priority No. 63/655,142Research output: Patents, Agreements and Assignments › RGC 51 - Patents (CityUHK)
- 2023
- Published
A two-channel deep network based model for improving ultra-short-term prediction of wind power via utilizing multi-source data
Liu, H., Yang, L., Zhang, B. & Zhang, Z., 15 Nov 2023, In: Energy. 283, 128510.Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review
Scopus citations: 22 - Published
Conditional Variational Autoencoder Informed Probabilistic Wind Power Curve Modeling
Zheng, Z., Yang, L. & Zhang, Z., Oct 2023, In: IEEE Transactions on Sustainable Energy. 14, 4, p. 2445-2460Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review
Scopus citations: 13 - Published
UAV-Assisted Wind Turbine Counting With an Image-Level Supervised Deep Learning Approach
Liu, X., Yang, L., Wang, Z., Wang, L., Huang, C., Zhang, Z. & Luo, X., 1 Mar 2023, In: IEEE Journal on Miniaturization for Air and Space Systems. 4, 1, p. 18-24Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review
Scopus citations: 5 - 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. 1111-1124Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review
Scopus citations: 13 - 2022
- Accepted/In press/Filed
Wind Turbine Performance Determination And Control
ZHANG, Z. (Inventor) & YANG, L. (Inventor), 14 Nov 2022, (Accepted/In press/Filed) Priority No. 17/986,036Research output: Patents, Agreements and Assignments › RGC 51 - Patents (CityUHK)
- 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 - Publication in refereed journal › peer-review
Scopus citations: 24 - 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 Reviews › RGC 21 - Publication in refereed journal › peer-review
Scopus citations: 20 - 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. 856-867Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review
Scopus citations: 37 - 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 Reviews › RGC 21 - Publication in refereed journal › peer-review
Scopus citations: 14 - 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. 1386-1398Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review
Scopus citations: 30 - 2021
- Published
Integrated Electricity-Gas System Optimal Dispatch Based on Deep Reinforcement Learning
Teng, X., Long, H. & Yang, L., Dec 2021, Proceedings - 2021 IEEE Sustainable Power and Energy Conference: Energy Transition for Carbon Neutrality, iSPEC 2021. Institute of Electrical and Electronics Engineers, Inc., p. 1082-1086 (Proceedings - IEEE Sustainable Power and Energy Conference: Energy Transition for Carbon Neutrality, iSPEC).Research output: Chapters, Conference Papers, Creative and Literary Works › RGC 32 - Refereed conference paper (with host publication) › peer-review
Scopus citations: 5 - 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 Reviews › RGC 21 - Publication in refereed journal › peer-review
Scopus citations: 73 - 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. 1820-1833Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review
Scopus citations: 49 - 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 Reviews › RGC 21 - Publication in refereed journal › peer-review
Scopus citations: 92 - 2020
- Published
Hybrid Separable Convolutional Inception Residual Network for Human Facial Expression Recognition
FAN, X., RIZWAN, Q., SHAHID, A. R., CAO, J., YANG, L. & YAN, H., Dec 2020, Proceedings of 2020 International Conference on Machine Learning and Cybernetics. Institute of Electrical and Electronics Engineers, p. 21-26 6 p. 9469558. (Proceedings - International Conference on Machine Learning and Cybernetics; vol. 2020-December).Research output: Chapters, Conference Papers, Creative and Literary Works › RGC 32 - Refereed conference paper (with host publication) › peer-review
Scopus citations: 10
