English(EN) PROSWIN: Probabilistic Solar Wind Speed Forecasting Using Deep Distributional Regression From Solar Images

新AI模型概率性预测太阳风速度

作者 PulseAugur 编辑部 · [1 个来源] · 2026-11-06 05:00

研究人员开发了PROSWIN，一个概率性机器学习模型，旨在提前四天预测太阳风速度。该模型利用深度分布回归结合太阳图像和磁力图，提供比传统单一数值模型更准确的预测。PROSWIN旨在改善对高速太阳风流相关风险的评估，这些风险可能损坏技术基础设施。 AI

影响增强了预测和减轻太阳事件对技术基础设施影响风险的能力。

排序理由这是一篇详细介绍用于太阳风速度预测的新机器学习模型的研究论文。[lever_c_demoted from research: ic=1 ai=1.0]

AI 生成摘要 · Google Gemini · 来自 1 个来源。我们如何撰写摘要 →

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arXiv cs.LG TIER_1 English(EN) · Daniel Collin, Yuri Shprits, Luca Chiarabini, Stefan J. Hofmeister, Nadja Klein, Guillermo Gallego · 2026-11-06 05:00

PROSWIN：基于太阳图像的深度分布回归概率性太阳风速度预测

arXiv:2609.26683v2 Announce Type: replace-cross Abstract: Accurately predicting fast solar wind conditions is challenging, as uncertainties are large and unquantified by traditional single-value prediction models. In particular, the risks of high-speed solar wind streams (HSSs), …