Probabilistic Prediction of Energy Demand and Driving Range for Electric Vehicles With Federated Learning

Today's drivers of battery electric vehicles must deal with limited driving range in a sparse charging infrastructure. An accurate prediction of energy demand and driving range is therefore important and enables reliable routing and charge planning applications. Predictions of energy dema...

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Bibliographic Details
Main Authors: Adam Thor Thorgeirsson, Stefan Scheubner, Sebastian Funfgeld, Frank Gauterin
Format: Article
Language:English
Published: IEEE 2021-01-01
Series:IEEE Open Journal of Vehicular Technology
Subjects:
Online Access:https://ieeexplore.ieee.org/document/9376307/