Predicting the capacity of solar farms using a Linear Regression algorithm toreplace renewable energy with fossil fuels

Global climate change necessitates prompt action to minimize greenhouse gas emissions from fossil-fuel-fired electricity generation facilities. Solar thermal energy may be used in a variety of ways to replace heat provided by fossil fuels in existing power facilities. In this study, using the Linear Regression algorithm, the powers of a solar farm were predicted and a very good value of 1.0722 was achieved for the RMSE evaluation criterion. It is easy to think of replacing renewable energy with fossil fuels

Predicting the capacity of solar farms using a Linear Regression algorithm toreplace renewable energy with fossil fuels Keywords:

greenhouse gas , fossil fuel , renable energy , solar fam , Linear Regression algorithm