Tucker-LSTM hybrid reduces MSE by 70.5% for EV battery SOC prediction versus standard LSTM on full-lifecycle field data.
An adaptive temporal-dependent tensor low-rank representation model for dynamic communication network embedding,
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A Hybrid Tucker-LSTM Tensor Network Model for SOC Prediction in Electric Vehicles
Tucker-LSTM hybrid reduces MSE by 70.5% for EV battery SOC prediction versus standard LSTM on full-lifecycle field data.