Successful development of Ultra-short-term Solar Power Density Nowcasting, helping to improve energy dispatch efficiency and ensure solar grid stability.
整合極短時雲預測模型、反演日射量模型，以及運用示範場域歷史資料進行機器學習，成功開發示範場域之極短時太陽能發電密度預測技術，以降低太陽能發電驟升驟降對電網穩定性的衝擊，進而輔助提升能源調度效率與電網整合能力。
The Ultra-short-term Solar Power Density Nowcasting technology for the demonstration site was successfully developed by utilizing historical data and the All Sky-Sun Video Diffusion Model (SSVDM).