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English(EN) Single-stage joint diffusion of sky images and clear-sky index for ultra-short-term irradiance forecasting: what the frame-to-irradiance stage discards

新的扩散模型通过联合去噪天空图像和晴空指数来预测太阳辐照度

作者 PulseAugur 编辑部 · [1 个来源] ·

研究人员开发了一种新颖的单阶段扩散模型，用于超短期太阳辐照度预测。这种新方法在单个扩散过程中联合去噪未来的天空图像及其对应的晴空指数序列。与预测帧然后回归辐照度的传统两阶段方法不同，该模型直接从未来天空条件的去噪预览中预测辐照度，无需单独的回归阶段。该模型在SIRTA数据集上表现出优越的性能，实现了104.1 W/m²的汇总RMSE和+0.34的CRPS技能得分，优于十二种基线配置，并突出了联合训练优于级联方法的优势。 AI

影响 这项研究引入了一种更有效、更准确的太阳辐照度预测方法，有望改善可再生能源电网管理。

排序理由 这是一篇详细介绍太阳辐照度预测新模型的学术论文。[lever_c_demoted from research: ic=1 ai=0.7]

在 arXiv cs.LG 阅读 →

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新的扩散模型通过联合去噪天空图像和晴空指数来预测太阳辐照度

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这是一篇详细介绍太阳辐照度预测新模型的学术论文。[lever_c_demoted from research: ic=1 ai=0.7]
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报道来源 [1]

  1. arXiv cs.LG TIER_1 English(EN) · Kanawut Suwandee, Suwichaya Suwanwimolkul ·

    天空图像和晴空指数的单阶段联合扩散用于超短期辐照度预测：帧到辐照度阶段丢弃了什么

    arXiv:2610.21795v1 Announce Type: cross Abstract: Sky-image irradiance forecasting is dominated by a two-stage design: a video-prediction model forecasts future sky frames, and a separately trained regressor maps those frames to irradiance. We propose a single-stage alternative t…

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