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Interurban Electric Vehicle Charging Stations Through Genetic Algorithms

  • Jaume Jordán [1] Árbol académico ; Pasqual Martí [1] ; Javier Palanca [1] ; Julian, Vicente [1] Árbol académico ; Vicente Botti [1] Árbol académico
    1. [1] Universidad Politécnica de Valencia

      Universidad Politécnica de Valencia

      Valencia, España

  • Localización: Hybrid Artificial Intelligent Systems: 16th International Conference, HAIS 2021. Bilbao, Spain. September 22–24, 2021. Proceedings / coord. por Hugo Sanjurjo González, Iker Pastor López Árbol académico, Pablo García Bringas Árbol académico, Héctor Quintián Pardo Árbol académico, Emilio Santiago Corchado Rodríguez Árbol académico, 2021, ISBN 978-3-030-86271-8, págs. 101-112
  • Idioma: inglés
  • Texto completo no disponible (Saber más ...)
  • Resumen
    • Electric vehicles are one of the strongest ways for society to stop contributing to greenhouse gas emissions. However, for their use to become regular, a good infrastructure of charging stations is needed, allowing a similar convenience to that offered by fossil fuel stations. Our work approaches the location of charging stations to create a nationwide infrastructure. In this case, we focus on Spain and using genetic algorithms, we search for and evaluate different configurations according to the number of stations desired. Our results show that, with 250 stations, an initial infrastructure that covers most of the territory can be developed.


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