Seyed Matin Malakoti

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 r…

Predicting wind power generation using Light_Gradient_Boosting_Machine andCNN-LSTM approaches

Energy production using wind turbines will replace fossil fuel power plants because access to fossil fue…

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 f…

Machine learning techniques for predicting the production capacity of a windfarm based on daily wind speed data

Among renewable energy sources, wind energy is a substantial and suitable source with the capacity to pr…

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 i…