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Stochastic Range Estimation Algorithms for Electric Vehicles using Data-Driven Learning Models
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If you make use of this material, you may credit the authors as follows:

Scheubner Stefan, "Stochastic Range Estimation Algorithms for Electric Vehicles using Data-Driven Learning Models", KIT Scientific Publishing, 2022, DOI: 10.5445/KSP/1000143200, License: http://creativecommons.org/licenses/by/4.0

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.

Keywords

Elektromobilität, Vorhersagen, Algorithmen, Fahrzeugtechnik, Energiemanagement, E-mobility, Forecasting, Algorithms, Vehicle Technology, Energy Management

Rights | License

Except where otherwise noted, this item has been published under the following license:

http://creativecommons.org/licenses/by/4.0

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