dc.creator | Hernández Velázquez, María Dolores | es |
dc.creator | Romero Ternero, María del Carmen | es |
dc.creator | Sivianes Castillo, Francisco | es |
dc.creator | Carrasco Muñoz, Alejandro | es |
dc.creator | Ropero Rodríguez, Jorge | es |
dc.date.accessioned | 2024-01-04T11:08:43Z | |
dc.date.available | 2024-01-04T11:08:43Z | |
dc.date.issued | 2019-01 | |
dc.identifier.citation | Hernández Velázquez, M.D., Romero Ternero, M.d.C., Sivianes Castillo, F., Carrasco Muñoz, A. y Ropero Rodríguez, J. (2019). A Hybrid Intelligent Multiagent System for the Remote Control of Solar Farms. Applied Artificial Intelligence, 33 (2), 124-136. https://doi.org/10.1080/08839514.2018.1530854. | |
dc.identifier.issn | 0883-9514 | es |
dc.identifier.uri | https://hdl.handle.net/11441/152953 | |
dc.description.abstract | This paper describes a multiagent architecture integrated system designed to supervise infrastructures in solar farms. The system enables monitoring the environment by means of sensor networks that are in charge of collecting data. It is designed using a hybrid model composed of an inference engine and an ontology. The former makes the system intelligent, while the latter structures knowledge. We have also developed a tool to configure and use the multiagent system in a simple and intuitive way. | es |
dc.format | application/pdf | es |
dc.format.extent | 13 p. | es |
dc.language.iso | eng | es |
dc.publisher | Taylor and Francis Inc. | es |
dc.relation.ispartof | Applied Artificial Intelligence, 33 (2), 124-136. | |
dc.rights | Attribution-NonCommercial-NoDerivatives 4.0 Internacional | * |
dc.rights.uri | http://creativecommons.org/licenses/by-nc-nd/4.0/ | * |
dc.subject | Remote control | es |
dc.subject | Sensor networks | es |
dc.subject | Hybrid model | es |
dc.subject | Integrated systems | es |
dc.subject | Intelligent multi agent systems | es |
dc.subject | Multiagent architecture | es |
dc.subject | Multi agent systems | es |
dc.title | A Hybrid Intelligent Multiagent System for the Remote Control of Solar Farms | es |
dc.type | info:eu-repo/semantics/article | es |
dcterms.identifier | https://ror.org/03yxnpp24 | |
dc.type.version | info:eu-repo/semantics/publishedVersion | es |
dc.rights.accessRights | info:eu-repo/semantics/openAccess | es |
dc.contributor.affiliation | Universidad de Sevilla. Departamento de Tecnología Electrónica | es |
dc.relation.publisherversion | https://www.tandfonline.com/doi/full/10.1080/08839514.2018.1530854 | es |
dc.identifier.doi | 10.1080/08839514.2018.1530854 | es |
dc.journaltitle | Applied Artificial Intelligence | es |
dc.publication.volumen | 33 | es |
dc.publication.issue | 2 | es |
dc.publication.initialPage | 124 | es |
dc.publication.endPage | 136 | es |