Modeling of the Forecasting Performance Indicators for the Power Equipment Generating Systems

The article models the forecast performance indicators of the power equipment of generating systems in order to determine their degree of influence on the basic parameters of the system. As part of the full-scale tests of the model, graphical dependencies were obtained in the article, reflecting the effect of the actual performance of power equipment on the overall performance of the system. Based on the proposed model, a predictive algorithm has been developed with a block of preliminary selection of the most significant predictors included in it. The algorithm was tested on an operating energy facility with high accuracy rates. The application of the developed algorithm makes it possible to increase the competitiveness of generating systems within the framework of functioning in the electricity market.