Hernández Velázquez, María DoloresRomero Ternero, María del CarmenSivianes Castillo, FranciscoCarrasco Muñoz, AlejandroRopero Rodríguez, Jorge2024-01-042024-01-042019-01Hernández 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/10.1080/08839514.2018.1530854.0883-9514https://hdl.handle.net/11441/152953This 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.application/pdf13 p.engAttribution-NonCommercial-NoDerivatives 4.0 Internacionalhttp://creativecommons.org/licenses/by-nc-nd/4.0/Remote controlSensor networksHybrid modelIntegrated systemsIntelligent multi agent systemsMultiagent architectureMulti agent systemsinfo:eu-repo/semantics/articleinfo:eu-repo/semantics/openAccesshttps://doi.org/10.1080/08839514.2018.1530854