Artículo
A Hybrid Intelligent Multiagent System for the Remote Control of Solar Farms
Autor/es | Hernández Velázquez, María Dolores
Romero Ternero, María del Carmen Sivianes Castillo, Francisco Carrasco Muñoz, Alejandro Ropero Rodríguez, Jorge |
Departamento | Universidad de Sevilla. Departamento de Tecnología Electrónica |
Fecha de publicación | 2019-01 |
Fecha de depósito | 2024-01-04 |
Publicado en |
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Resumen | 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 ... 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. |
Cita | 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. |
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