Projects per year
Personal profile
Personal profile
Dr. Xiaoyang Chen is currently an Assistant Professor in the Department of Electrical and Electronics Engineering, School of Advanced Technology at Xian Jiaotong-Liverpool University (XJTLU). He is also the Programme Director for MRes Low Carbon Electrical Power and Energy Technology.Dr. Chen is a member of the IEEE-PES society and serves in the IEEE ISVC Group. He has published a series of scientific papers on top journals, e.g., IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS, IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS, IEEE TRANSACTIONS ON SUSTAINABLE ENERGY, APPLIED ENERGY, and RENEWABLE ENERGY. He has also served as a Guest Editor in the SCI journal ELECTRONICS, and an Associate Editor in the SCI journal FRONTIERS IN ENERGY EFFICIENCY. Dr. Chen has received multiple research funds from academia and industry. His research interests include solar forecasting, photovoltaic power systems, machine learning, and smart grid. Applications for research assistants and PhD positions are very welcome.
Research interests
Renewable Energy
Energy Management
Machine Learning
Experience
MRes LCEPET Programme Director - Xian Jiaotong-Liverpool University, 2022 - Present
Assistant Professor - Xian Jiaotong-Liverpool University, 2021- Present
Visiting Scholar - James Cook University, 2019
Teaching
EEE211 Electronic Circuits and Systems
EEE205 Digital Electronics II
Awards and honours
Best Conference Award in 2018 IEEE EI2 international conference
2017 IET Best Poster Award
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
PhD, University of Liverpool - 2021
Person Types
- Staff
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Collaborations and top research areas from the last five years
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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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<italic>Vcp</italic>-Decomposition-Based Adaptive Search for Optimal Power Extraction in Photovoltaic Systems
Ma, J., Wang, K., Huang, M., Chen, X., Li, X. & Hughes, D., 4 Jul 2024, (Accepted/In press) In: IEEE Transactions on Power Electronics. p. 1-9 9 p.Research output: Contribution to journal › Article › 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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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) -
A regional solar forecasting approach using generative adversarial networks with solar irradiance maps
Wen, H., Du, Y., Chen, X., Lim, E. G., Wen, H. & Yan, K., Nov 2023, In: Renewable Energy. 216, 119043.Research output: Contribution to journal › Article › peer-review
Open Access9 Citations (Scopus) -
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 Access1 Citation (Scopus)
Activities
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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, …
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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, …
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XJTLU-Baidu Innovation Center
Xiaoyang Chen (Participant)
2023Activity: Participating in or organising an event › Participating in an event e.g. a conference, workshop, …
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Frontiers in energy efficiency (Journal)
Xiaoyang Chen (Member of editorial board)
2023Activity: Peer-review and editorial work of publications › Editorial work
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Electronics (Journal)
Xiaoyang Chen (Editor)
2023Activity: Peer-review and editorial work of publications › Editorial work