arXiv Machine Learning June 3, 2026 By Vinicius Bortolini, Gilson Adamczuk Oliveira, Erick Oliveira Rodrigues, Matheus Henrique Dal Molin Ribeiro

A Systematic Evaluation of Current Architectures in Wind Power Forecasting

Read the original on arXiv Machine Learning →

arXiv:2606. 02849v1 Announce Type: new Abstract: Interval wind speed forecasting is essential for the efficient integration of wind energy into power systems, as it accounts for the inherent uncertainty of wind resources.

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