期刊
ETRANSPORTATION
卷 6, 期 -, 页码 -出版社
ELSEVIER
DOI: 10.1016/j.etran.2020.100083
关键词
Electric vehicle (EV); Markov chains; Charging infrastructures; EV impact; Data driven
资金
- project TEINVEIN: TEcnologie INnovative per i VEicoli Intelligenti, CUP (Codice Unico Progetto Unique Project Code) [E96D17000110009]
- POR FESR 2014-2020 (Programma Operativo Regionale, Fondo Europeo di Sviluppo Regionale e Regional Operational Programme, European Regional Development Fund)
Charging infrastructures are under the attention of researchers and companies as they are actually the crucial point for the development of the spread of electric vehicles. For this reason It is essential to have forecasting tools that analyze the behaviour of users to try to extrapolate data and useful information. In this work we start from a group of data collected during the Teinvein project and then reworked to obtain a forecasting model based on Markov chains. The method proposed in the paper makes use of information related to the distribution of vehicles in the charging stations, their average plug time, the amount of energy withdrawn, to reconstruct a distribution of occupancy model of a single station and, consequently, the consumption profile. (C) 2020 Elsevier B.V. All rights reserved.
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