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 ۱.۰۷۲۲ was achieved for the RMSE evaluation criterion. It is easy to think of replacing renewable energy with fossil fuels

Keywords:

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