Utilize este identificador para referenciar este registo:
https://hdl.handle.net/1822/89521Registo completo
| Campo DC | Valor | Idioma |
|---|---|---|
| dc.contributor.author | Martí, Pasqual | por |
| dc.contributor.author | Llopis, Jaime | por |
| dc.contributor.author | Julian, Vicente | por |
| dc.contributor.author | Novais, Paulo | por |
| dc.contributor.author | Jordán, Jaume | por |
| dc.date.accessioned | 2024-03-14T10:52:51Z | - |
| dc.date.available | 2024-03-14T10:52:51Z | - |
| dc.date.issued | 2023-07 | - |
| dc.identifier.isbn | 978-3-031-37592-7 | - |
| dc.identifier.issn | 1865-0929 | - |
| dc.identifier.uri | https://hdl.handle.net/1822/89521 | - |
| dc.description.abstract | 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. | por |
| dc.description.sponsorship | This work is partially supported by grant PID2021-123673OBC31 funded by MCIN/AEI/10.13039/501100011033 and by “ERDF A way of making Europe”. Pasqual Martí is supported by grant ACIF/2021/259 funded by the “Conselleria de Innovación, Universidades, Ciencia y Sociedad Digital de la Generalitat Valenciana". Jaume Jordán is supported by grant IJC2020-045683-I funded by MCIN/AEI/10.13039/501100011033 and by “European Union NextGenerationEU/PRTR”. | por |
| dc.language.iso | eng | por |
| dc.publisher | Springer Nature | por |
| dc.rights | openAccess | por |
| dc.subject | Agent-based simulation | por |
| dc.subject | Electric vehicles | por |
| dc.subject | Genetic algorithms | por |
| dc.title | Validating state-wide charging station network through agent-based simulation | por |
| dc.type | conferencePaper | por |
| dc.peerreviewed | yes | por |
| dc.relation.publisherversion | https://link.springer.com/chapter/10.1007/978-3-031-37593-4_13 | por |
| oaire.citationStartPage | 158 | por |
| oaire.citationEndPage | 169 | por |
| oaire.citationVolume | 1838 CCIS | por |
| dc.date.updated | 2024-03-13T17:14:00Z | - |
| dc.identifier.eissn | 1865-0937 | - |
| dc.identifier.doi | 10.1007/978-3-031-37593-4_13 | por |
| dc.identifier.eisbn | 978-3-031-37593-4 | - |
| sdum.export.identifier | 13391 | - |
| sdum.journal | Communications in Computer and Information Science | por |
| sdum.conferencePublication | International Conference on Practical Applications of Agents and Multi-Agent Systems - PAAMS 2023 | por |
| sdum.bookTitle | Highlights in Practical Applications of Agents, Multi-Agent Systems, and Cognitive Mimetics. The PAAMS Collection | por |
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Ficheiros deste registo:
| Ficheiro | Descrição | Tamanho | Formato | |
|---|---|---|---|---|
| author-version.pdf | 11,49 MB | Adobe PDF | Ver/Abrir |
