Artículo
A Distributed Approach for Estimating Battery State-Of-Charge in Solar Farms
Autor/es | Romero Ternero, María del Carmen
Oviedo Olmedo, David Carrasco Muñoz, Alejandro Luque Rodríguez, Joaquín |
Departamento | Universidad de Sevilla. Departamento de Tecnología Electrónica |
Fecha de publicación | 2019 |
Fecha de depósito | 2024-01-03 |
Publicado en |
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Resumen | A common problem in solar farms is to predict when accumulators stop working optimally
and start losing efficiency. This paper proposes and describes how to use Bayesian networks together
with expert systems to predict ... A common problem in solar farms is to predict when accumulators stop working optimally and start losing efficiency. This paper proposes and describes how to use Bayesian networks together with expert systems to predict this moment by using a telecontrol multiagent system for monitoring solar farms with distributed sensors, which was developed in a previous work. To this end, a Bayesian network model and its implementation are proposed. The resulting system meets the requirements of telecontrol systems (reliability, flexibility, and response time), yields a solution for the prediction of lifespan batteries, and provides the multiagent system with autonomous intelligent capabilities and integrated learning. |
Identificador del proyecto | P08-TIC-03862 |
Cita | Romero Ternero, M.d.C., Oviedo Olmedo, D., Carrasco Muñoz, A. y Luque Rodríguez, J. (2019). A Distributed Approach for Estimating Battery State-Of-Charge in Solar Farms. Sensors, 19 (22 , 4998), 1-19. https://doi.org/10.3390/s19224998. |
Ficheros | Tamaño | Formato | Ver | Descripción |
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A distributed approach.pdf | 1.695Mb | [PDF] | Ver/ | |