Publications

• Can Gas Consumption Data Improve the Performance of Electricity Theft Detection?
  W. Liao, R. Zhu, T. Ishizaki, Y. Li, Y. Jia and Z. Yang
  IEEE Transactions on Industrial Informatics (2024)
  

• Simple Data Augmentation Tricks for Boosting Performance on Electricity Theft Detection Tasks
  W. Liao, Z. Yang, B. Bak-Jensen, J. Pillai, L. Krannichfeldt, Y. Wang, D. Yang
  IEEE Transactions on Industry Applications (2023)

• Sample Adaptive Transfer for Electricity Theft Detection With Distribution Shifts
  W. Liao, A. Takiddin, M. Tariq, S. Chen, L. Ge and Z. Yang
  IEEE Transactions on Power Systems (2024)
  

• Explainable Fault Diagnosis of Oil-Immersed Transformers: A Glass-Box Model
  W. Liao, Y. Zhang, D. Cao, T. Ishizaki, Z. Yang and D. Yang
  IEEE Transactions on Instrumentation and Measurement (2024)

• Electricity theft detection using Euclidean and graph convolutional neural networks
  W. Liao, Z. Yang, K. Liu, B. Zhang, X. Chen and R. Song
  IEEE Transactions on Power Systems (2022)
  

• Electricity Theft Detection Using Dynamic Graph Construction and Graph Attention Network
  W. Liao,R. Zhu, Z. Yang, K. Liu, B. Zhang ,S. Zhu, and B. Feng
  IEEE Transactions on Industrial Informatics (2024)

• Reducing Annotation Efforts in Electricity Theft Detection Through Optimal Sample Selection
  W. Liao, B. Bak-Jensen, J. R. Pillai, X. Xia, G. Ruan and Z. Yang
  IEEE Transactions on Instrumentation and Measurement (2024)

• WindGMMN: Scenario forecasting for wind power using generative moment matching networks
  W. Liao, Z. Yang, X. Chen, Y. Li
  IEEE Transactions on Artificial Intelligence (2022)

• Transfer Learning-Driven Electricity Theft Detection in Small Sample Cases
  W. Liao, R. Zhu, A. Takiddin, M. Tariq, G. Ruan, X. Cui, Z. Yang
  IEEE Transactions on Instrumentation and Measurement (2024)

• Mitigating Class Imbalance Issues in Electricity Theft Detection via a Sample-Weighted Loss
  W. Liao, R. Zhu, L. Ge, D. Cao and Z. Yang
  IEEE Transactions on Industrial Informatics (2024)

• Can we trust explainable artificial intelligence in wind power forecasting?
  W. Liao, J. Fang, L. Ye, B. Bak-Jensen, Z. Yang, F. Porte-Agel
  Applied Energy (2024)

• A review of graph neural networks and their applications in power systems
  W. Liao, B. Bak-Jensen, J. Pillai, Y. Wang, Y. Wang
  Journal of Modern Power Systems and Clean Energy (2021)