Replacing the production capacity of wind farms with the production capacity offossil fuel power plants and using the Random Forest method algorithm topredict wind farm wind power and speed

Due to the great problem of global warming and greenhouse gas emissions, in this article we decided to reduce the environmental problems associated with the use of fossil fuels in the production of electricity required in fossil fuel power plants, thinking of replacing renewable energy with fossil fuel. Therefore, a wind farm in Texas, USA was studied. Due to the great problem of global warming and greenhouse gas emissions, in this article we decided to reduce the environmental problems associated with the use of fossil fuels in the production of electricity required in fossil fuel power plants, thinking of replacing renewable energy with fossil fuel. Therefore, a wind farm in Texas, USA was studied and the turbine production capacity was obtained using the Random Forest method with an average square error of 0.0487 in 110 seconds. Also wind speed, which is the most important factor in generating electricity in wind turbines. By Random Forest method, the average squares error was 0.0487 in 75 seconds.

Replacing the production capacity of wind farms with the production capacity offossil fuel power plants and using the Random Forest method algorithm topredict wind farm wind power and speed Keywords:

Global Warming , Fossil Fuel , Renable Energy , Wind Fam , Random Forest Method