Generation of mathematical models for short period estimation in wind and solar energy electric power plants

The accurate estimation of how much electricity will generate electricity in the wind and photovoltaic plants before the day ahead is crucial for the protection of the supply-demand balance. In this study, mathematical models capable of estimating the correct production for wind and photovoltaic power plants were created by considering meteorological data Multiple Regression Analysis (MRA) was used to construct mathematical models. The obtained MRA mathematical model equations and production estimates are made. In order to test the reliability of the used models, the accuarcy test was performed using known test methods and the reliability of the method was demonstrated. It has been shown that the production planning for renewable energy plants can be done more accurately with the estimations made by the mathematical models produced.