Ge Chen

Ge Chen's research focuses on making electrical power grids and energy systems smarter and more reliable as they incorporate more renewable energy sources like solar and wind. Much of the work involves using machine learning, especially reinforcement learning and 'constraint learning' (methods that teach algorithms to respect physical and operational limits of power systems), to control things like building cooling systems, electric vehicle charging, and data centers so they can help balance electricity supply and demand. The work also touches on grid security, such as detecting cyberattacks that inject false data into grid monitoring systems.

Publication output has grown substantially over the past decade, rising from occasional single papers per year before 2020 to a peak of 12 in 2025, indicating an increasingly active and accelerating research program.

Generated by claude-sonnet-5 from public bibliographic data · Jul 20, 2026