Forecasting the Solar Power Plants Generation in a Meteorological Data-Constrained Environment

This paper is devoted to increasing the accuracy of forecasting the solar power plants generation in Russia in a data-constrained environment. Within this study, an analysis of forecasting parameters influence on the solar power plants generation based on the regression analysis methods was made. The study object was a real power system, with the installed capacity of 3915 MW, 330 MW of which is the solar power plants' share. The study also analyzed the change in the average price indice of the balancing market in Russia, depending on solar power plants presence.