Machine learning algorithms are being used to predict the output capacity of asolar farm in California in order to substitute renewable energy with fossil fuels

Solar energy forecasting is a critical component of boosting the competitiveness of solar power plants in the energy market and decreasing economic and societal dependency on fossil fuels. The datasets we used in this study represent data from ۲۰۱۹ to ۲۰۲۱and are related to California. Decision Tree and Extra Tree have provided high accuracies. Extra Tree has shown good performance with about ۴ seconds predictions. Decision Tree has shown as good as Extra Tree performance with approximately ۱.۷ seconds predictions

کلیدواژه ها:

Solar energy ، fossil fuels ، Extra Tree ، Decision Tree