Neural and identification modeling of the next day market of electrical power

Abstract

The paper presents selected results of research on modeling and modeling identification nerone's development of the electricity market. For example on the electricity market shows the results of neural and identification modeling. As a result of comparative studies showing that yields better results neural modelling than identification modelling for this type of systems containing a large number of pairs of trainees. Suitable model built in Simulink, which was conducted susceptibility testing of both models and simulation studies. Made visualization of the results of research.