dc.creator | Oviedo, D. | es |
dc.creator | Romero Ternero, María del Carmen | es |
dc.creator | Carrasco Muñoz, Alejandro | es |
dc.creator | Sivianes Castillo, Francisco | es |
dc.creator | Hernández Velázquez, María Dolores | es |
dc.creator | Escudero Fombuena, José Ignacio | es |
dc.date.accessioned | 2022-04-13T09:38:11Z | |
dc.date.available | 2022-04-13T09:38:11Z | |
dc.date.issued | 2013 | |
dc.identifier.citation | Oviedo, D., Romero Ternero, M.d.C., Carrasco Muñoz, A., Sivianes Castillo, F., Hernández Velázquez, M.D. y Escudero Fombuena, J.I. (2013). Multiagent System powered by Neural Network for positioning control of solar panels: An optimization for sun tracking systems. En IECON 2013 : 39th Annual Conference of the IEEE Industrial Electronics Society (3615-3620), Vienna, Austria: IEEE Computer Society. | |
dc.identifier.isbn | 978-1-4799-0224-8 | es |
dc.identifier.issn | 1553-572X | es |
dc.identifier.uri | https://hdl.handle.net/11441/132092 | |
dc.description.abstract | This paper presents a model of neural network for
position control of solar panels in multiagent-based control
systems. This neural network is integrated within agents in order
to optimize and predict the best positioning of solar panels
depending on the position of the sun and other variables. The
agents in this system can cooperate and coordinate to achieve a
sun tracking system optimized, simple and adaptive. | es |
dc.description.sponsorship | Junta de Andalucía P08-TIC-03862 (CARISMA) | es |
dc.format | application/pdf | es |
dc.format.extent | 6 | es |
dc.language.iso | eng | es |
dc.publisher | IEEE Computer Society | es |
dc.relation.ispartof | IECON 2013 : 39th Annual Conference of the IEEE Industrial Electronics Society (2013), pp. 3615-3620. | |
dc.rights | Attribution-NonCommercial-NoDerivatives 4.0 Internacional | * |
dc.rights.uri | http://creativecommons.org/licenses/by-nc-nd/4.0/ | * |
dc.subject | Control Systems | es |
dc.subject | Solar energy | es |
dc.subject | Position Control | es |
dc.subject | Renewable energy | es |
dc.subject | Multiagent System | es |
dc.subject | Sun tracking | es |
dc.subject | Neural network | es |
dc.title | Multiagent System powered by Neural Network for positioning control of solar panels: An optimization for sun tracking systems | es |
dc.type | info:eu-repo/semantics/conferenceObject | es |
dcterms.identifier | https://ror.org/03yxnpp24 | |
dc.type.version | info:eu-repo/semantics/submittedVersion | es |
dc.rights.accessRights | info:eu-repo/semantics/openAccess | es |
dc.contributor.affiliation | Universidad de Sevilla. Departamento de Tecnología Electrónica | es |
dc.relation.projectID | P08-TIC-03862 (CARISMA) | es |
dc.relation.publisherversion | https://ieeexplore.ieee.org/document/6699710 | es |
dc.identifier.doi | 10.1109/IECON.2013.6699710 | es |
dc.publication.initialPage | 3615 | es |
dc.publication.endPage | 3620 | es |
dc.eventtitle | IECON 2013 : 39th Annual Conference of the IEEE Industrial Electronics Society | es |
dc.eventinstitution | Vienna, Austria | es |
dc.relation.publicationplace | New York, USA | es |
dc.contributor.funder | Junta de Andalucía | es |