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energy storage power station fault warning measures
This paper proposes an early fault warning method for energy storage batteries based on SAM-DeepAR-LOF. By introducing a self-attention mechanism to optimize the DeepAR model, the ability of the model to capture key features is improved. Combining grid search to optimize the LOF algorithm enhances the fault warning accuracy of the model.
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