Jiarui Liu

A deep generative model based on CNN-CVAE for wind turbine condition monitoring

Xinli Li, Guotian Yang, Jiarui Liu, 2022, Measurement Science and Technology.

A compound framework incorporating improved outlier detection and correction, VMD, weight-based stacked generalization with enhanced DESMA for multi-step short-term wind speed forecasting

Xuanrui Zhang, Wenlong Fu, Jiarui Liu, 2023, Applied Energy.

Wind turbine anomaly detection based on SCADA: A deep autoencoder enhanced by fault instances.

Xinli Li, Xiyun Yang, Qianming Wang, 2023, ISA transactions.

Renewable energy forecasting: A self-supervised learning-based transformer variant

Jiarui Liu, Yuchen Fu, 2023, Energy.