/MIT-Battery-Dataset-RUL-prediction-by-naive-LSTM

A naive LSTM implementation for battery RUL prediction

Primary LanguagePython

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RUL prediction using naive LSTM.

Using sliding window to predict RUL directly.

Higher accuracy after 250 cycles.

Reference:

Predictive Battery Health Management with Transfer Learning and Online Model Correction