Neural modeling and simulation of domestic electric power system development from the point of view of unmanned factories

The paper contains selected results of research related to a neural model of development of the electric power system from the unmanned factories perspective in the MATLAB environment. For the purpose of an experiment that involved designing and testing the neural model of the system, numerical data for the years 1946 to 2009 are used, which comprise nine input and five output variables. In order to obtain changes in the development model of the system, numerical data are divided into 34 intervals, with the step of one year (30-year periods), which are used for subsequent generation of a catalogue of neural models. Based on changing the weights, changes in the system are observed, and are given an appropriate interpretation. A comparative analysis of the model and the system as well as simulation runs are performed up to the year 2030.