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_pages/research/decarbonization.md

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 This project integrates data science and machine learning into engineering and social science frameworks to address challenges in creating low-carbon power systems with large shares of renewable energy sources.   
 
 Research includes dynamic electricity pricing based on supply and demand; reinforcement learning to control home appliances; federated learning at the grid edge for enhanced security and privacy; and policies to implement equitable energy transition and assist low-income households in adopting decarbonization technology, where machine learning is instrumental.