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基于DFT-自相关自适应分解框架与多尺度堆叠LSTM的长时序预测模型ADMS ...
本文提出了一种结合离散傅里叶变换(DFT)与自相关机制的自适应分解框架ADMS-LSTM,通过金字塔多尺度分解(PDM)和预测融合模块(PFM)有效解决长时序预测中的误差累积和远距离依赖捕获难题,在六个公开数据集上实现了最先进(SOTA)性能。 Highlight 我们的 ...
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