v1/figures/capacity_fade_all_batteries.png · aiBatteryLifeCycle | QuantaMrkt

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All aiBatteryLifeCycle Files v1 figures capacity_fade_all_batteries.png

Files

251

models

classical

rf_classifier.joblib ridge.joblib

v1

figures

best_ensemble_prediction.png capacity_and_rul.png capacity_distribution_by_temp.png capacity_fade_all_batteries.png capacity_fade_by_temperature.png capacity_fade_interactive.html ced_curves.png classical_best_actual_vs_pred.png classical_best_residuals.png classical_soh_comparison.png classification_confusion_matrices.png degradation_state_distribution.png dg_itransformer_predictions.png dg_itransformer_training.png ensemble_comparison.png ensemble_weights.png feature_correlation_heatmap.png impedance_evolution.png lstm_actual_vs_predicted.png lstm_training_curves.png mc_dropout_uncertainty_lstm.png radar_top6.png re_vs_rct_scatter.png shap_xgboost_soh.png soc_coulomb_counting_demo.png soh_degradation_trends.png soh_distribution.png transformer_pt_training_curves.png transformer_tf_training_curves.png unified_model_comparison.png vae_anomaly_detection.png vae_latent_umap.png vae_lstm_prediction.png voltage_surface_3d_interactive.html voltage_surface_3d.png

models

classical

elasticnet.joblib knn_k10.joblib knn_k20.joblib knn_k5.joblib lasso.joblib lightgbm_best_params.joblib lightgbm.joblib random_forest.joblib rf_classifier.joblib ridge.joblib svr.joblib xgb_classifier.joblib xgboost_best_params.joblib xgboost.joblib

deep

attention_lstm.pt batterygpt.pt bidirectional_lstm.pt dynamic_graph_itransformer.keras gru.pt itransformer.keras physics_itransformer.keras tft.pt vae_lstm.pt vanilla_lstm.pt

results

classical_rul_results.csv classical_soh_results.csv dg_itransformer_results.json ensemble_results.csv final_rankings.csv lstm_soh_results.csv transformer_soh_results.csv unified_results.csv vae_lstm_results.json

scalers

features_minmax.joblib features_standard.joblib linear_scaler.joblib sequence_scaler.joblib datamap.json figures.json models.json

v2

figures

best_actual_vs_pred.png best_ensemble_prediction.png capacity_and_rul.png capacity_distribution_by_temp.png capacity_fade_all_batteries.png capacity_fade_by_temperature.png capacity_fade_interactive.html ced_curves.png classical_best_actual_vs_pred_v2.png classical_best_actual_vs_pred.png classical_best_residuals_v2.png classical_best_residuals.png classical_soh_comparison_v2.png classical_soh_comparison.png classical_top8.png classification_confusion_matrices_v2.png classification_confusion_matrices.png degradation_state_distribution.png dg_itransformer_predictions.png dg_itransformer_training.png ensemble_comparison.png ensemble_weights.png feature_correlation_heatmap.png impedance_evolution.png lstm_actual_vs_predicted.png lstm_training_curves.png mc_dropout_uncertainty_lstm.png per_battery_mae_heatmap_v2.png radar_top6.png re_vs_rct_scatter.png shap_rf_soh_v2.png shap_xgboost_soh_v2.png shap_xgboost_soh.png soc_coulomb_counting_demo.png soh_degradation_trends.png soh_distribution.png transformer_pt_training_curves.png transformer_tf_training_curves.png unified_model_comparison.png vae_anomaly_detection.png vae_latent_umap.png vae_lstm_prediction.png voltage_surface_3d_interactive.html voltage_surface_3d.png

models

classical

best_rul_model.joblib elasticnet.joblib extra_trees.joblib gradient_boosting.joblib knn_k10.joblib knn_k20.joblib knn_k5.joblib lasso.joblib lightgbm_best_params.joblib lightgbm.joblib random_forest.joblib rf_classifier.joblib ridge.joblib svr.joblib xgb_classifier.joblib xgboost_best_params.joblib xgboost.joblib

deep

attention_lstm.pt batterygpt.pt bidirectional_lstm.pt dynamic_graph_itransformer.keras gru.pt itransformer.keras physics_itransformer.keras tft.pt vae_lstm.pt vanilla_lstm.pt

reports

best_model_analysis.png model_validation.csv per_battery_accuracy.png r2_vs_accuracy.png validation_accuracy_bars.png validation_report.html validation_summary.json

results

battery_features.csv battery_sequences.npz best_model_analysis.png classical_results.csv classical_rul_results.csv classical_soh_results.csv dg_itransformer_results.json ensemble_results.csv final_rankings.csv intra_battery.json lstm_soh_results.csv model_validation.csv per_battery_accuracy.png r2_vs_accuracy.png training_summary.json transformer_soh_results.csv unified_results.csv vae_lstm_results.json validation_accuracy_bars.png validation_report.html validation_summary.json

scalers

features_minmax.joblib features_standard.joblib linear_scaler.joblib sequence_scaler.joblib standard_scaler.joblib datamap.json figures.json models.json

v3

features

battery_features.csv battery_sequences.npz test_split.csv train_split.csv

figures

best_ensemble_prediction.png capacity_and_rul.png ced_curves.png degradation_state_distribution.png dg_itransformer_predictions.png dg_itransformer_training.png ensemble_comparison.png ensemble_confusion_matrix.png ensemble_weights.png feature_correlation_heatmap.png lstm_actual_vs_predicted.png lstm_training_curves.png mc_dropout_uncertainty_lstm.png soc_coulomb_counting_demo.png soh_degradation_trends.png transformer_pt_training_curves.png transformer_tf_training_curves.png unified_model_comparison.png vae_anomaly_detection.png vae_latent_umap.png vae_lstm_prediction.png

models

classical

extra_trees.joblib gradient_boosting.joblib knn_k5.joblib lightgbm.joblib random_forest.joblib re_rct_progression.joblib ridge.joblib svr.joblib xgboost.joblib

deep

attention_lstm.pt batterygpt.pt bidirectional_lstm.pt dynamic_graph_itransformer.keras gru.pt itransformer.keras physics_itransformer.keras tft.pt vae_lstm.pt vanilla_lstm.pt

ensemble

ensemble_stacking.joblib ensemble_weights.json

results

classical_soh_results.csv dg_itransformer_results.json dg_predictions.npz ensemble_predictions.npz ensemble_results.csv final_rankings.csv lstm_predictions.npz lstm_soh_results.csv transformer_predictions.npz transformer_soh_results.csv unified_results.csv vae_lstm_results.json vae_predictions.npz

scalers

features_minmax.joblib features_standard.joblib datamap.json figures.json models.json .gitattributes dataset.json README.md

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