2 citations · 5 across the 3 of their papers we have counts for
4 papers
WaveHiTS: Wavelet-Enhanced Hierarchical Time Series Modeling for Wind Direction Nowcasting in Eastern Inner Mongolia
Hailong Shu, Weiwei Song, Yue Wang +1
Wind direction forecasting plays a crucial role in optimizing wind energy production, but faces significant challenges due to the circular nature of directional data, error accumul…
Multi-scale decomposition of sea surface height snapshots using machine learning
Jingwen Lyu, Yue Wang, Christian Pedersen +2
Knowledge of ocean circulation is important for understanding and predicting weather and climate, and managing the blue economy. This circulation can be estimated through Sea Surfa…
Forecasting the Future with Future Technologies: Advancements in Large Meteorological Models
Hailong Shu, Yue Wang, Weiwei Song +2
The field of meteorological forecasting has undergone a significant transformation with the integration of large models, especially those employing deep learning techniques. This p…
Multi-Step Short-Term Wind Speed Prediction with Rank Pooling and Fast Fourier Transformation
Hailong Shu
Short-term wind speed prediction is essential for economical wind power utilization. The real-world wind speed data is typically intermittent and fluctuating, presenting great chal…