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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Autors principals:	Alexandra Märtz, Uwe Langenmayr, Sabrina Ried, Katrin Seddig, Patrick Jochem
Format:	Artigo
Idioma:	Inglês
Publicat:	MDPI AG 2022-09-01
Col·lecció:	Energies
Matèries:	battery electric vehicles (BEV) temporal charging behavior of BEV users flexibility potential in charging processes of BEVs k-means clustering Gaussian mixture model clustering
Accés en línia:	https://www.mdpi.com/1996-1073/15/18/6575
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