I am currently working on real-time forecasting, simulation, and data analysis systems for energy community management. My research focuses on developing intelligent, data-driven solutions that support decision-making in distributed energy systems. This includes designing machine learning models for accurate energy load forecasting, building simulation frameworks to test energy scenarios, and implementing real-time data pipelines for monitoring and optimization. My goal is to contribute to more resilient, efficient, and sustainable energy communities, especially in the context of renewable integration and smart grid planning.