UID:
edoccha_9960764468402883
Umfang:
1 electronic resource (192 p.)
ISBN:
1000143200
Serie:
Karlsruher Schriftenreihe Fahrzeugsystemtechnik
Inhalt:
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.
Anmerkung:
English
Weitere Ausg.:
ISBN 3-7315-1166-5
Sprache:
Englisch