In this paper, five imputation methods namely Constant (zero), Mean, Median, Maximum Likelihood, and Multiple Imputation methods have been applied to compensate for missing values in Electric Vehicle (EV) charging data. The outcome of each of these methods have been used as the input to a prediction algorithm to forecast the EV load in the next 24 hours at each individual outlet. The data is real world data at the outlet level from the UCLA campus parking lots. Given the sparsity of the data, both Median and Constant (=zero) imputations improved the prediction results. Since in most missing value cases in our database, all values of that instance are missing, the multivariate imputation methods did not improve the results significantly compared to univariate approaches.


    Zugriff

    Zugriff prüfen

    Verfügbarkeit in meiner Bibliothek prüfen

    Bestellung bei Subito €


    Exportieren, teilen und zitieren



    Titel :

    Incomplete data in smart grid: Treatment of missing values in electric vehicle charging data


    Beteiligte:
    Majidpour, Mostafa (Autor:in) / Chu, Peter (Autor:in) / Gadh, Rajit (Autor:in) / Pota, Hemanshu R. (Autor:in)


    Erscheinungsdatum :

    01.11.2014


    Format / Umfang :

    175097 byte




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



    Electric Vehicle Charging Control Based on Smart Grid Big Data

    Chang, Kuo-Chi / Xu, Ze / Chu, Kai-Chun et al. | IEEE | 2020


    Electric Vehicle Smart Charging For Demand Response Participation For An Electric Grid

    WANG ZHENYUAN / LIU KAIYU | Europäisches Patentamt | 2025

    Freier Zugriff

    ELECTRIC VEHICLE SMART CHARGING SYSTEM

    LIN CHUAN YI / CHAN CHUNG MING / CHANG MING HUEI et al. | Europäisches Patentamt | 2024

    Freier Zugriff

    Electric vehicle charging and discharging facility based on smart power grid

    ZHANG WENLONG | Europäisches Patentamt | 2021

    Freier Zugriff

    ELECTRIC VEHICLE SMART CHARGING STATIONS

    PROSSERMAN JEFFREY / VICARI JOERN / VALLEJO ALEJANDRO | Europäisches Patentamt | 2022

    Freier Zugriff