Wenlong Liao
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Postdoctoral Researcher |
Biography
Hi, I am a PostDoc researcher at Wind Engineering and Renewable Energy Laboratory, Ecole Polytechnique Federale de Lausanne(EPFL), mentored by Prof. Fernando Porte-Agel.
Previously,I received my Bachelor's degree in Electrical engineering and mathematics from China Agricultural University in June 2017, my master's degree in electrical engineering from Tianjin University (supervised by Prof. Shouxiang Wang) in Jun. 2020, and my Ph.D. degree in electrical engineering from Aalborg University (supervised by Prof. Birgitte Bak-Jensen .) in Jun.2023. From Sept. 2022 to Feb. 2023, I was an exchange student researcher at the Energy Digitalization Laboratory, The University of Hong Kong (supervised by Prof. Yi Wang ).
Currently, I mainly focus on the artificial intelligence in power systems, such as explainable artificial intelligence (XAI) and transfer learning in wind power forecasting, electricity theft detection and reactive power optimization of distribution networks.
News
Oct, 2024: Our paper “Mitigating Class Imbalance Issues in Electricity Theft Detection via a Sample-Weighted Loss” is accpeted by IEEE Transactions on Industrial Informatics.
Sept, 2024: I am excited to announce that I have been selected as the Associate Editor of Protection and Control of Modern Power Systems(IF=8.7) .
Aug, 2024: Our paper “Can We Trust Explainable Artificial Intelligence in Wind Power Forecasting?” is accpeted by Applied Energy.
Aug, 2024: Our paper “Transfer Learning-Driven Electricity Theft Detection in Small Sample Cases” is accpeted by IEEE Transactions on Instrumentation & Measurement.
Jun, 2024: I am excited to announce that I have been selected as the Associate Editor of e-Prime - Advances in Electrical Engineering, Electronics and Energy .
Mar, 2024: Our paper “Sample Adaptive Transfer for Electricity Theft Detection with Distribution Shifts” is accpeted by IEEE Transactions on Power Systems.
Feb, 2024: Our paper “Can Gas Consumption Data Improve the Performance of Electricity Theft Detection?” is accpeted by IEEE Transactions on Industrial Informatics.
Jan, 2024: Our paper “A review of graph neural networks and their applications in power systems” received Best paper Award from Journal of Modern Power System and Clean Energy.
Dec, 2023: Our paper “Reducing Annotation Efforts in Electricity Theft Detection through Optimal Sample Selection” is accpeted by IEEE Transactions on Instrumentation & Measurement.
Dec, 2023: Our letter “Explainable Fault Diagnosis of Oil-Immersed Transformers: A Glass-Box Model” is accpeted by IEEE Transactions on Instrumentation & Measurement.
Nov, 2023: Our paper “Data-Driven Reactive Power Optimization of Distribution Network via Graph Attention Networks” is accpeted by Journal of Modern Power System and Clean Energy(I finished the first draft of this paper in Beijing Ditan Hospital when I got covid-19 in Feb. 2022.).
Oct, 2023 : I am excited to announce that I have been selected as a DAAD AInet fellow for the Postdoc-NeT-AI 11/2023.
Oct, 2023: Our paper “Electricity Theft Detection Using Dynamic Graph Construction and Graph Attention Network” is accpeted by IEEE Transactions on Industrial Informatics.
Selected Honors & Awards
Best Student Paper Award, Awarded by the 8th Asia Conference on Power and Electrical Engineering, Apr. 2023.
The Excellent Young Scholar, Awarded by the Journal of Modern Power Systems and Clean Energy, Jan. 2023.
Best Paper Award, Awarded by the 2nd China International Youth Conference On Electrical Engineering, Dec. 2021.
The Second Prize, China Graduate Mathematics Competition of "Huawei Cup", Awarded by China Academic Degrees & Graduate Education Development Center, Dec. 2017.
Honorable Mention, International Mathematical Contest in Modeling (MCM), Awarded by Mathematical Association of America (MAA), Apr. 2016.