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Chenrui Xu

1 accepted papers

2026

Improving Extreme Wind Prediction with Frequency-Informed Learning

ICLR 2026poster

Accurate prediction of extreme wind velocities has substantial significance in industry, particularly for the operation management of wind power plants. Although the state-of-the-art data-driven models perform well for general meteorological forecasting, they may exhibit large errors for extreme wea…

Cited by 0SourceScholar