During this internship, I developed predictive models and integrated real-time data to optimize energy systems using digital twins and artificial intelligence. I designed and optimized energy production forecasting models with recurrent neural networks, created an interactive application using Streamlit for data visualization and forecasting, and established data processing pipelines from servers. Additionally, I implemented a decision-making algorithm to determine the optimal operational mode of the systems, which resulted in a significant improvement in forecast accuracy and operational efficiency.