20.500.12556/RUL-174885 Survival analysis of electric vehicle charging behavior and the temporal evolution of feature effects This study proposes a survival-based modeling framework that combines behavioral features with interpretable machine learning to understand and predict user churn in electric vehicle charging services. Using a dataset of 1,074 users and 107,531 charging sessions from Central European countries, we modeled time-to-churn while handling censored observations.The best-performing model, a StackedWeibull survival model based on gradient boosting, achieved a concordance index of 0.826 ± 0.041 and Integrated Brier Score of 0.078 ± 0.008 (5-fold cross-validation), with strong calibration relative to Kaplan-Meier survival estimates. Interpretability analyses identified sustained session frequency, positive engagement trends, and temporal regularity in charging behavior as key predictors of reduced churn risk.These findings highlight the potential of survival modeling integrated with behavioral analytics to predict churn risk and inform retention strategies in electric vehicle charging networks. electric vehicle charging machine learning behavioral modeling churn prediction survival analysis polnjenje električnih vozil strojno učenje modeliranje obnašanja napoved odhoda uporabnikov analiza trajanja true false true Angleški jezik Slovenski jezik Članek v reviji 2025-10-10 12:21:07 2025-10-10 12:21:13 2025-12-01 04:01:34 0000-00-00 00:00:00 2025 0 0 15 str. 15, art. 34897 2025 0000-00-00 Zaloznikova Objavljeno apc 0000-00-00 0000-00-00 0000-00-00 621.3 2045-2322 10.1038/s41598-025-18771-8 252693507 s41598-025-18771-8.pdf s41598-025-18771-8.pdf 1 2471DEC6AB34041E7FE8E330707DFE3F b1ba4a01441ab21bf40ce55e28ac09d0ba4c8c38f9857bdf323715deb654d9fc ef3c46c8-a5c2-11f0-9328-0050569b8976 https://repozitorij.uni-lj.si/Dokument.php?lang=slv&id=219793 https://www.nature.com/articles/s41598-025-18771-8 1 9c7718c1-a5c2-11f0-9328-0050569b8976 https://repozitorij.uni-lj.si/Dokument.php?lang=slv&id=219792 Fakulteta za elektrotehniko 0 0 0