Improving the Efficiency of Renewable Energy Systems using Intelligent Control Algorithms based on Deep Learning

This paper proposes an intelligent control model utilizing deep learning techniques to enhance the efficiency of renewable energy systems, specifically focusing on a hybrid solar and wind energy system. The model aims to address challenges related to energy production fluctuations due to weather conditions, ultimately reducing energy losses. Performance evaluations will compare this algorithm with existing systems to demonstrate its effectiveness