This paper presents a control system, based on artificial intelligence technologies, that implements
multiple intelligences. This system aims to support and improve automatic telecontrol of solar power
plants, by either automatically triggering actuators or dynamically giving recommendations to human
operators. For this purpose, the development of a MultiAgent System is combined with a variety of
inference systems, such as Expert Systems, Neural Networks, and Bayesian Networks. This diversity of
intelligent technologies is shown to result in an efficient way to mimic the reasoning process in human
operators.