The popularity of electric vehicles has led to an increase in the use of electric vehicles for commuting to work, requiring company charging stations to predict electric vehicle charging loads to aid advance planning. This paper takes into account the method of predicting EV load influenced by the travel characteristics of various types of EVs in a company. A probabilistic model of travel characteristics based on different types of EVs is established and a Monte Carlo simulation method is used to propose a company EV charging load prediction model. Taking a city as an example, the load of electric vehicles of a company in that place is predicted to provide more reliable data support for the planning of electric vehicle charging stations of the company.


    Access

    Check access

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    Electric vehicle charging station load forecasting for companies based on travel characteristics


    Contributors:

    Conference:

    Second International Conference on Energy, Power, and Electrical Technology (ICEPET 2023) ; 2023 ; Kuala Lumpur, Malaysia


    Published in:

    Proc. SPIE ; 12788 ; 127884W


    Publication date :

    2023-09-25





    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



    Electric Vehicle Charging Load Forecasting based on Monte Carlo

    Wang, Peiwen / Shen, Jin | VDE-Verlag | 2022


    Electric vehicle charging station load calculation method

    PAN BENREN / XIE GUOQIANG / ZHANG YAN et al. | European Patent Office | 2020

    Free access



    Demand Forecasting-Based Layout Planning of Electric Vehicle Charging Station Locations

    Li, Min / Wang, Wuhong / Mu, Hongfei et al. | Springer Verlag | 2017