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) Carbon accounting, tracing and net-zero pathway design for power systems. Accepting PhD students and RAs.
Research interests
Machine-learning applications on power systems
Low-carbon power system planning
Power system economics
Experience
Lecturer - Xian Jiaotong-Liverpool University, 2021-Present
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
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
Dive into the research topics where Lurui Fang is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
Collaborations and top research areas from the last five years
Recent external collaboration on country/territory level. Dive into details by clicking on the dots or
Projects
- 4 Active
-
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
-
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
-
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
-
基于双重差分模型的分时电价机制对用电成本的影响分析 (Analysis on the Effect of Time-of-Use Electricity Price on Electricity Cost Based on Difference-in-Differences Model)
Li, J., You, P., Zhang, C., Fang, L. & Zhang, W., 2024, In: 中国电力（Electric Power）.Research output: Contribution to journal › Article › peer-review
-
Cooperative multi-agent deep reinforcement learning based decentralized framework for dynamic renewable hosting capacity assessment in distribution grids
Xu, X., Chen, X., Wang, J., Fang, L., Xue, F. & Lim, E. G., Oct 2023, In: Energy Reports. 9, p. 441-448 8 p.Research output: Contribution to journal › Article › peer-review
Open Access -
Research on Object Detection of Overhead Transmission Lines Based on Optimized YOLOv5s †
Gu, J., Hu, J., Jiang, L., Wang, Z., Zhang, X., Xu, Y., Zhu, J. & Fang, L., Mar 2023, In: Energies. 16, 6, 2706.Research output: Contribution to journal › Article › peer-review
Open Access4 Citations (Scopus) -
Robust Proactive Power Smoothing Control of PV Systems Based on Deep Reinforcement Learning
Chen, X., Xu, X., Wang, J., Fang, L., Du, Y., Lim, E. G. & Ma, J., 2023, (Accepted/In press) In: IEEE Transactions on Sustainable Energy. 14, 3, p. 1-14 14 p.Research output: Contribution to journal › Article › peer-review
5 Citations (Scopus) -
Smart fault detection of HTS coils using artificial intelligence techniques for large-scale superconducting electric transport applications
Yazdani-Asrami, M., Fang, L., Pei, X. & Song, W., Aug 2023, In: Superconductor Science and Technology. 36, 8, 085021.Research output: Contribution to journal › Article › peer-review
Open Access2 Citations (Scopus)
Activities
-
-
The research on cost analysis in securing wind power generations and reducing network CO2 emissions
Lurui Fang (Supervisor)
2023Activity: Supervision › Master Dissertation Supervision
-
Moving our power and energy systems towards net-zero
Xiaoyang Chen (Organiser) & Lurui Fang (Organiser)
2023Activity: Participating in or organising an event › Organising an event e.g. a conference, workshop, …
-
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, …
-
Frontiers in energy efficiency (Journal)
Lurui Fang (Editor)
2023 → …Activity: Peer-review and editorial work of publications › Editorial work