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  • 1
    Online Resource
    Online Resource
    Stochastic Range Estimation Algorithms for Electric Vehicles using Data-Driven Learning Models (2022)
    Karlsruhe : KIT Scientific Publishing
    Details
    UID:
    edocfu_9960764468402883
    Format: 1 electronic resource (192 p.)
    ISBN: 1000143200
    Series Statement: Karlsruher Schriftenreihe Fahrzeugsystemtechnik
    Content: 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.
    Note: English
    Additional Edition: ISBN 3-7315-1166-5
    Language: English
    Library Location Call Number Volume/Issue/Year Availability
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