Personal profile
Author IDs
ORCID iD: 0000-0001-6298-5333
Related Links
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
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SDG 9 Industry, Innovation, and Infrastructure
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Collaborations from the last five years
Research output
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Autonomous wind turbine performance curve modeling based on SCADA data: A vision intelligence powered method
Wu, C., Yang, L. & Zhang, Z., Dec 2025, In: Energy and AI. 22, 100645.Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review
Open AccessFile2 Downloads (CityUHK Scholars) -
M-MOFormer: Multi-Modal Transformer Framework for Metal-Organic Framework Property Prediction
Min, B., Yang, L. & Zhang, Z., 2025.Research output: Conference Papers › RGC 32 - Refereed conference paper (without host publication) › peer-review
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System And Method For Generalizable Wind Power Sequence Forecasting
ZHAO, X. (Inventor), YANG, L. (Inventor) & ZHANG, Z. (Inventor), 13 Jun 2025, (Accepted/In press/Filed) Priority No. 19/237,665Research output: Patents, Agreements and Assignments › RGC 51 - Patents (CityUHK)
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Wind Turbine Performance Determination And Control
ZHANG, Z. (Inventor) & YANG, L. (Inventor), 7 Oct 2025, Patent No. US12,435,700, Priority No. 17/986,036Research output: Patents, Agreements and Assignments › RGC 51 - Patents (CityUHK)
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通用風電功率序列預測系統及方法
ZHAO, X. (Inventor), YANG, L. (Inventor) & ZHANG, Z. (Inventor), 24 Jun 2025, (Accepted/In press/Filed) Priority No. 202511024583.6Translated title of the contribution :Wind Power Generation Forecasting Research output: Patents, Agreements and Assignments › RGC 51 - Patents (CityUHK)
Prizes
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Outstanding Academic Performance Award for Research Degree Students (non-local UGC-funded students)
YANG, L. (Recipient), 16 Aug 2022
Prize: RGC 64B - Prizes and awards
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Thesis
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Deep Learning Powered Wind Farm Data Analytics
YANG, L. (Author), ZHANG, Z. (Supervisor), 31 Jan 2023Student thesis: Doctoral Thesis