Neural networks for processing knowledge about electric energy market

This paper is concerned with an overview of artificial neural networks from the point of view of the possibility of using them to process information as well as an overview of new constructions of artificial neural networks that can be used to process knowledge about electrical energy market. In particular, attention has been drawn to self-organizing neural networks and self-optimizing neural networks, which show the highest sensitivity to neural network design for examining the regularities in the operation and development of great systems of this order such as the system of electrical energy market.