Utilize este identificador para referenciar este registo:
https://hdl.handle.net/1822/89521| Título: | Validating state-wide charging station network through agent-based simulation |
| Autor(es): | Martí, Pasqual Llopis, Jaime Julian, Vicente Novais, Paulo Jordán, Jaume |
| Palavras-chave: | Agent-based simulation Electric vehicles Genetic algorithms |
| Data: | Jul-2023 |
| Editora: | Springer Nature |
| Revista: | Communications in Computer and Information Science |
| Resumo(s): | The electric car market in Europe is growing due to climate change awareness, expectations of fossil fuel depletion, and cost savings. However, the limited number of low-powered public charging stations in the case of Spain impedes longer interurban trips, causing “range anxiety” in users. Currently, there are proposals using genetic algorithms to design an optimal electric charging station network that satisfies the needs of all citizens in any region. The work presented in this paper aims to design and develop a simulation environment to test the allocation results of a genetic algorithm and compare them with the only fast charging station network of Tesla and other possible station distributions. |
| Tipo: | Artigo em ata de conferência |
| URI: | https://hdl.handle.net/1822/89521 |
| ISBN: | 978-3-031-37592-7 |
| e-ISBN: | 978-3-031-37593-4 |
| DOI: | 10.1007/978-3-031-37593-4_13 |
| ISSN: | 1865-0929 |
| e-ISSN: | 1865-0937 |
| Versão da editora: | https://link.springer.com/chapter/10.1007/978-3-031-37593-4_13 |
| Arbitragem científica: | yes |
| Acesso: | Acesso aberto |
| Aparece nas coleções: |
Ficheiros deste registo:
| Ficheiro | Descrição | Tamanho | Formato | |
|---|---|---|---|---|
| author-version.pdf | 11,49 MB | Adobe PDF | Ver/Abrir |
