Ponencia
Multiagent System powered by Neural Network for positioning control of solar panels: An optimization for sun tracking systems
Autor/es | Oviedo, D.
Romero Ternero, María del Carmen Carrasco Muñoz, Alejandro Sivianes Castillo, Francisco Hernández Velázquez, María Dolores Escudero Fombuena, José Ignacio |
Departamento | Universidad de Sevilla. Departamento de Tecnología Electrónica |
Fecha de publicación | 2013 |
Fecha de depósito | 2022-04-13 |
Publicado en |
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ISBN/ISSN | 978-1-4799-0224-8 1553-572X |
Resumen | 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 ... 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. |
Agencias financiadoras | Junta de Andalucía |
Identificador del proyecto | P08-TIC-03862 (CARISMA) |
Cita | 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. |
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