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Trend-seasonal error stochastic diffusion for probabilistic load forecasting in high-RES grids
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DOI：10.1016/j.asoc.2026.116187.png)
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Abstract
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• Reformulates load forecasting as trend-anchored residual diffusion. • Decouples deterministic trend prediction from stochastic residual modeling. • Achieves extreme sampling efficiency with only three function evaluations. • Validates downstream scheduling utility using an operational proxy cost function.
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6.6
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1.4W
Citations:
4.8W
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