
This repository contains the supplementary material accompanying the manuscript “Decision-Oriented Short-Horizon Electric-Vehicle Forecasting for Range Support and Energy Management”. It is intended to support reproducibility, transparent auditing, and secondary verification of the study's methodology and results. The package includes the full experimental workflow used in the paper, covering data configuration, leakage-safe benchmark construction, feature-generation logic, model training, uncertainty calibration, explainability analysis, and decision-support evaluation. The materials are organized to allow an independent reviewer to inspect not only the final results reported in the manuscript, but also the intermediate computational artifacts that support the main claims.
decision support, machine learning, remaining-range prediction, transport analytics, uncertainty calibration, reproducibility, electric vehicles, energy-demand prediction, explainable AI
decision support, machine learning, remaining-range prediction, transport analytics, uncertainty calibration, reproducibility, electric vehicles, energy-demand prediction, explainable AI
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