Load shifting is one of the main methods of demand response currently influencing electricity consumer demand, mainly to the smart charging Solutions in Electric Vehicles. This process consists of shifting the load from peak to off‐peak periods in order to maintain the existing electrical infrastructure. Office buildings have a large influx of vehicles, electrical infrastructure, parking spaces, and many people staying in them for similar and constant periods. In this way, this chapter proposes a charge strategy for charging electric vehicles in office buildings through automatic learning algorithms presenting the benefits of its implementation. In this way, this strategy seeks to optimize the existing electrical infrastructure and vehicle parking space.


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    Titel :

    Management of Electric Vehicles Using Automatic Learning Algorithms: Application in Office Buildings


    Beteiligte:
    Sachan, Sulabh (Herausgeber:in) / Sanjeevikumar, P. (Herausgeber:in) / Deb, Sanchari (Herausgeber:in) / Rodriguez, Andres Alonso (Autor:in) / Perdomo, Luis (Autor:in) / Al‐sumaiti, Ameena (Autor:in) / Santamaria, Francisco (Autor:in) / Rivera, Sergio (Autor:in)


    Erscheinungsdatum :

    2022-03-07


    Format / Umfang :

    15 pages




    Medientyp :

    Aufsatz/Kapitel (Buch)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch




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