Abstract: The Autoformer model exhibits limitations in capturing local information in time series forecasting, which is crucial for improving prediction accuracy. To address this, this paper proposes ...
Abstract: The complexity of data and limited model generalization significantly hinder prediction accuracy. A physics-informed long short-term memory model with adaptive weight assignment (PILSTM-AWA) ...
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