An analysis of unsupervised neural network models and the use of self-organizing maps in the real-time monitoring of power transformers was carried out. The application of genetic algorithms in a complex optimization problem, the allocation and parameters of FACTS devices in a power transmission system, was also studied. Intelligent systems for monitoring of equipment and for improving the loading of networks are essential tools for the operation of electric energy systems.