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Data-Driven-Modelling-of-Lithium-ion-batteries
Data-Driven-Modelling-of-Lithium-ion-batteries PublicForked from ShreyaShinde25/Data-Driven-Modelling-of-Lithium-ion-batteries
Developed a data-driven prognostic model using the Long short-term memory (LSTM) algorithm to predict the state of charge (SoC) and state of health (SoH) of the lithium-ion battery where the datase…
Python
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Hybrid_time_series_forecasting_model
Hybrid_time_series_forecasting_model PublicForked from GuoKent/Hybrid_time_series_forecasting_model
An Informer-LSTM model for State-of-Charge Estimation of Lithium-Ion Batteries
Python
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lstm_soc
lstm_soc PublicForked from lokilang/lstm_soc
Long Short-Term Memory for Estimating State of Charge of Lithium Polymer Battery
Python
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SoH_estimation_of_Lithium-ion_battery
SoH_estimation_of_Lithium-ion_battery PublicForked from standing-o/SoH_estimation_of_Lithium-ion_battery
State of health (SOH) prediction for Lithium-ion batteries using regression and LSTM
Jupyter Notebook
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battery-state-estimation
battery-state-estimation PublicForked from KeiLongW/battery-state-estimation
Estimation of the State of Charge (SOC) of Lithium-ion batteries using Deep LSTMs.
Jupyter Notebook
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