Andrew L. Liu

Andrew L. Liu works on the economics and optimization of electricity systems, focusing on how power markets, retail pricing, and peer-to-peer energy trading can be designed to be both efficient and fair as more homes and businesses generate their own solar power. His work combines mathematical optimization, game theory, and machine learning (including multiagent reinforcement learning) to study problems like electricity rate design, power purchase agreements, and risk management for energy producers/consumers ('prosumers'). More recent work also touches on general machine learning methods such as causal structure learning and decision-focused learning, which can be applied beyond energy.

Publication output has grown over the last decade, rising from about 1-2 papers per year in the late 2010s to a peak of around 7 in 2025, indicating increasing recent activity.

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