Author

Abbas Tabandeh

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Open access Jul 2026

Integrated Traffic–Weather-Aware Forecasting of Urban EV Charging Demand for Infrastructure Planning

This study develops a multi-model forecasting framework that leverages Transformer-based deep learning architectures to integrate real-world charging data with traffic flow and meteorological variables for predicting short-term EV charging demand across metropolitan areas.

Christoph Sommer, Jahangir Hossain, Abbas Tabandeh · Energies · 0 citations