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A Multi-Agent System for the Dynamic Emplacement of Electric Vehicle Charging Stations

doi: 10.3390/app8020313
A Multi-Agent System for the Dynamic Emplacement of Electric Vehicle Charging Stations
One of the main current challenges of electric vehicles (EVs) is the creation of a reliable, accessible and comfortable charging infrastructure for citizens in order to enhance demand. In this paper, a multi-agent system (MAS) is proposed to facilitate the analysis of different placement configurations for EV charging stations. The proposed MAS integrates information from heterogeneous data sources as a starting point to characterize the areas where charging stations could potentially be placed. Through a genetic algorithm, the MAS is able to analyze a large number of possible configurations, taking into account a set of criteria to be optimized. Finally, the MAS returns a configuration with the areas of the city that are considered most appropriate for the establishment of charging stations according to the specified criteria.
Technology, Electric vehicles, QH301-705.5, QC1-999, BIBLIOTECONOMIA Y DOCUMENTACION, Charging stations, genetic algorithm, multi-agent systems, Biology (General), QD1-999, electric vehicles, T, Physics, Multi-agent systems, Engineering (General). Civil engineering (General), Chemistry, Genetic algorithm, charging stations, multi-agent systems; electric vehicles; charging stations; genetic algorithm, TA1-2040, LENGUAJES Y SISTEMAS INFORMATICOS
Technology, Electric vehicles, QH301-705.5, QC1-999, BIBLIOTECONOMIA Y DOCUMENTACION, Charging stations, genetic algorithm, multi-agent systems, Biology (General), QD1-999, electric vehicles, T, Physics, Multi-agent systems, Engineering (General). Civil engineering (General), Chemistry, Genetic algorithm, charging stations, multi-agent systems; electric vehicles; charging stations; genetic algorithm, TA1-2040, LENGUAJES Y SISTEMAS INFORMATICOS
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