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English(EN) Integrating Weather Foundation Model and Satellite to Enable Fine-Grained Solar Irradiance Forecasting

天气基础模型与卫星数据结合,实现精细化太阳能预测

研究人员开发了Baguan-solar,一个将天气基础模型与卫星图像相结合以进行精确太阳辐照度预测的新型框架。这种两阶段的多模态方法通过结合Baguan模型的大规模预测和高分辨率卫星数据来捕捉精细尺度的云动力学,从而改进了现有方法。Baguan-solar在东亚地区进行了测试,与其它领先的预测系统相比,其RMSE降低了16.08%。该系统的运营版本自2025年7月起在中国支持太阳能发电预测。 AI

影响 通过提供更准确的公里级辐照度预测,增强太阳能电网集成。

排序理由 这是一篇详细介绍新型预测模型的学术论文。

在 arXiv cs.AI 阅读 →

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

天气基础模型与卫星数据结合,实现精细化太阳能预测

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这是一篇详细介绍新型预测模型的学术论文。
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报道来源 [1]

  1. arXiv cs.AI TIER_1 English(EN) · Ziqing Ma, Kai Ying, Xinyue Gu, Tian Zhou, Tianyu Zhu, Haifan Zhang, Peisong Niu, Zheng Wang, Cong Bai, Liang Sun ·

    整合天气基础模型与卫星,实现精细化太阳辐照度预测

    arXiv:2603.14845v3 Announce Type: replace-cross Abstract: Accurate day-ahead solar irradiance forecasting is essential for integrating solar energy into the power grid. However, it remains challenging due to the pronounced diurnal cycle and inherently complex cloud dynamics. Curr…