Charging Behavior of Electric Vehicles: Temporal Clustering Based on Real-World Data

Charging Behavior of Electric Vehicles: Temporal Clustering Based on Real-World Data

The increasing adoption of battery electric vehicles (BEVs) is leading to rising demand for electricity and, thus, leading to new challenges for the energy system and, particularly, the electricity grid. However, there is a broad consensus that the critical factor is not the additional energy demand...

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Bibliographic Details
Main Authors: Alexandra Märtz, Uwe Langenmayr, Sabrina Ried, Katrin Seddig, Patrick Jochem
Format: Article
Language:English
Published: MDPI AG 2022-09-01
Series:Energies
Subjects:
battery electric vehicles (BEV)
temporal charging behavior of BEV users
flexibility potential in charging processes of BEVs
k-means clustering
Gaussian mixture model clustering
Online Access:https://www.mdpi.com/1996-1073/15/18/6575

Internet

https://www.mdpi.com/1996-1073/15/18/6575

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