Projects per year
Personal profile
Personal profile
Dr Lurui Fang is currently an Assistant Professor in the Department of Electrical and Electronics Engineering, School of Advanced Technology at Xian Jiaotong-Liverpool-Liverpool University (XJTLU). Dr Fang obtained Ph.D. degree from the University of Bath in 2021. Before that, he was a research and field engineer in Chongqing Datang International Pengshui Hydro Power Ltd, 2015-2017. Dr Fangs research interests are within developing new analysis tools for power system planning and diagnosis, alongside new economic theories for future power systems. His research currently has two focuses: 1) tangible network and generation expansion strategies for future power systems; 2) network tariff design for future power systems. Accepting PhD students and RAs.
Research interests
Machine-learning applications on power systems
Low-carbon power system planning
Power system economics
Experience
Assistant Professor - Xian Jiaotong-Liverpool University, 2024-
Lecturer - Xian Jiaotong-Liverpool University, 2021-2023
Group Assistant, Centre for Sustainable Power Distribution, University of Bath, 2019-2021
Research and Field Engineer, Chongqing Datang International Pengshui Hydro Power Ltd, 2015-2017
Teaching
EEE421, Integration of Energy Strategies in the Design of Buildings, Number of students enrolled: 44(2022)
EEE210, Energy Conversion and Power Systems, Number of students enrolled: 144(2022)
EEE104, Digital Electronics I, Number of students enrolled: 581(2022)
Awards and honours
Class B for School-enterprise Advisor Exchange - SuZhou Industry Park - 2022
Best paper - The 7th International Conference on Energy, Electrical and Power Engineering (CEEPE 2024)
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):
Education/Academic qualification
Ph.D. University of Bath, - 2021
M.Sc., University of Southampton, -2014
Person Types
- Staff
Fingerprint
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Collaborations and top research areas from the last five years
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Projects
- 5 Active
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Research on multi-scenario energy storage system configuration technology of distribution network based on artificial intelligence method
Fang, L., Chen, X., Lim, E. G. & Xue, F.
10/05/24 → 31/12/24
Project: Collaborative Research Project
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Research on the impact of physical characteristics of cables to distribution system investments and operation costs
Fang, L., Lim, E. G., Xue, F., Chen, X. & Wen, H.
1/09/22 → 31/08/25
Project: Internal Research Project
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PV power smoothing control based on ultra-short-term solar forecasting
Chen, X., Lim, E. G., Ma, J. & Fang, L.
1/09/22 → 31/08/25
Project: Internal Research Project
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Research on using situation awareness and tranfer learning for fault prediction of wind turbines
Fang, L., Lim, E. G., Xue, F., Chen, X. & Han, B.
1/07/22 → 30/06/26
Project: Collaborative Research Project
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A Novel Methodology to Warn Pre-icing Events for Wind Turbines
Yang, Y., Lyu, Y., Li, Y., Fang, L., Luo, Y. & Liu, W., 2024, 2024 IEEE 2nd International Conference on Power Science and Technology, ICPST 2024. Institute of Electrical and Electronics Engineers Inc., p. 77-82 6 p. (2024 IEEE 2nd International Conference on Power Science and Technology, ICPST 2024).Research output: Chapter in Book or Report/Conference proceeding › Conference Proceeding › peer-review
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A Novel PV Planning Model for Power Distribution Systems Considering Carbon Emissions and Network Losses
Hu, Y., Fang, L., Chen, X. & Lim, E. G., 2024, 2024 IEEE 2nd International Conference on Power Science and Technology, ICPST 2024. Institute of Electrical and Electronics Engineers Inc., p. 1558-1563 6 p. (2024 IEEE 2nd International Conference on Power Science and Technology, ICPST 2024).Research output: Chapter in Book or Report/Conference proceeding › Conference Proceeding › peer-review
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A Two-Stage Data-Driven Method to Identify Blade Faults for Wind Turbines Using Vibration Data (Conference Best paper)
Yang, Y., Lyu, Y., Li, Y., Fang, L., Luo, Y. & Liu, W., 2024, 2024 7th International Conference on Energy, Electrical and Power Engineering, CEEPE 2024. Institute of Electrical and Electronics Engineers Inc., p. 557-563 7 p. (2024 7th International Conference on Energy, Electrical and Power Engineering, CEEPE 2024).Research output: Chapter in Book or Report/Conference proceeding › Conference Proceeding › peer-review
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On the use of sky images for intra-hour solar forecasting benchmarking: Comparison of indirect and direct approaches
Ruan, G., Chen, X., Lim, E. G., Fang, L., Su, Q., Jiang, L. & Du, Y., Jul 2024, In: Solar Energy. 276, 112649.Research output: Contribution to journal › Article › peer-review
1 Citation (Scopus) -
Short-term load forecasting facilitated by edge data centres: A coordinated edge-cloud approach
Li, J., Fang, L., Wei, X., Fang, M., Xiang, Y., You, P., Zhang, C. & Gu, C., 2024, (Accepted/In press) In: IET Smart Grid.Research output: Contribution to journal › Article › peer-review
Open Access
Activities
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7th International Conference on Energy, Electrical and Power Engineering, CEEPE 2024
Lurui Fang (Participant)
2024Activity: Participating in or organising an event › Organising an event e.g. a conference, workshop, …
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The 2nd International Conference on Smart Electrical Grid and Renewable Energy (SEGRE)
Lurui Fang (Participant)
2024Activity: Participating in or organising an event › Organising an event e.g. a conference, workshop, …
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The research on cost analysis in securing wind power generations and reducing network CO2 emissions
Lurui Fang (Supervisor)
2023Activity: Supervision › Master Dissertation Supervision
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2023 School Reserach workshop
Xiaoyang Chen (Organiser) & Lurui Fang (Organiser)
2023Activity: Participating in or organising an event › Organising an event e.g. a conference, workshop, …