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Weather foundation model and satellite data combine for fine-grained solar forecasting

By PulseAugur Editorial · [1 sources] ·

Researchers have developed Baguan-solar, a novel framework that integrates a weather foundation model with satellite imagery for precise solar irradiance forecasting. This two-stage multimodal approach improves upon existing methods by combining the large-scale predictions of the Baguan model with high-resolution satellite data to capture fine-scale cloud dynamics. Tested over East Asia, Baguan-solar demonstrated a 16.08% reduction in RMSE compared to other leading forecasting systems. An operational version of this system has been supporting solar power forecasting in China since July 2025. AI

IMPACT Enhances solar energy grid integration by providing more accurate, kilometer-scale irradiance forecasts.

RANK_REASON This is a research paper detailing a new forecasting model.

Read on arXiv cs.AI →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

Weather foundation model and satellite data combine for fine-grained solar forecasting

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COVERAGE [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 ·

    Integrating Weather Foundation Model and Satellite to Enable Fine-Grained Solar Irradiance Forecasting

    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…

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