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This work aims at improving the energy consumption forecast of electric vehicles by enhancing the prediction with a notion of uncertainty. The algorithm itself learns from driver and traffic data in a training set to generate accurate, driver-individual energy consumption forecasts.

Mechanical engineering & materials --- Elektromobilität --- Vorhersagen --- Algorithmen --- Fahrzeugtechnik --- Energiemanagement --- E-Mobility --- Forecasting --- Algorithms --- Vehicle Technology --- Energy Management