Tony Shi

Department: Industrial & Systems Engineering

Faculty Advisor: Chaoyue Zhao

My research focuses on developing a hierarchical reinforcement learning (HRL) framework to optimize power distribution in community-level prosumer networks under forecast uncertainty, tailored to the urban energy landscape of Washington state. Under this framework, communities can interact and satisfy each other’s electricity demand with self-generated solar and wind energy. This research is aimed at enhancing the energy resilience, equity, and operational efficiency of our communities. In the meantime, this research will generate actionable potential in enabling further renewable energy integration into our communities.