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.Consejería de Innovación, Ciencia y Empresas (Junta de Andalucía) P08-TIC-0386
