Repeated games in electricity spot and forward markets - An equilibrium modeling and computational framework. - Andrew L. Liu (Allerton, 2010)

Economic and Emissions Implications of Load-Based, Source-Based, and First-Seller Emissions Trading Programs Under California AB32. - Yihsu Chen; Andrew L. Liu; Benjamin F. Hobbs (Oper. Res., 2011)

Tacit collusion games in pool-based electricity markets under transmission constraints. - Andrew L. Liu; Benjamin F. Hobbs (Math. Program., 2013)

On Nash-Cournot games with price caps. - Lanshan Han; Andrew L. Liu (Oper. Res. Lett., 2013)

Electricity Demand Response under Real-Time Pricing: A Multi-armed Bandit Game. - Zibo Zhao; Andrew L. Liu; Yihsu Chen (APSIPA, 2018)

A Decomposition Method for Large-scale Convex Quadratically Constrained Quadratic Programs. - Run Chen; Andrew L. Liu (CoRR, 2019)

Multi-Agent Learning in Double-side Auctions forPeer-to-peer Energy Trading. - Zibo Zhao; Andrew L. Liu (CoRR, 2020)

A Distributed Optimization Approach to the Multi-Regional Day-Ahead Clearing Process in Electricity Markets. - Veronica R. Bosquezfoti; Andrew L. Liu (CoRR, 2020)

Multi-Agent Learning in Repeated Double-side Auctions for Peer-to-peer Energy Trading. - Andrew L. Liu; Zibo Zhao (HICSS, 2021)

A distributed algorithm for high-dimension convex quadratically constrained quadratic programs. - Run Chen; Andrew L. Liu (Comput. Optim. Appl., 2021)

Auction Design through Multi-Agent Learning in Peer-to-Peer Energy Trading. - Zibo Zhao; Chen Feng; Andrew L. Lu (CoRR, 2021)

Equilibrium strategies for multiple interdictors on a common network. - Harikrishnan Sreekumaran; Ashish Ranjan Hota; Andrew L. Liu; Nelson A. Uhan; Shreyas Sundaram (Eur. J. Oper. Res., 2021)

Optimal Retail Tariff Design with Prosumers: Pursuing Equity at the Expenses of Economic Efficiencies? - Yihsu Chen; Andrew L. Liu; Makoto Tanaka; Ryuta Takashima (CoRR, 2022)

A Nested Cross Decomposition Algorithm for Power System Capacity Expansion with Multiscale Uncertainties. - Zhouchun Huang; Qipeng P. Zheng; Andrew L. Liu (INFORMS J. Comput., 2022)

Decentralized Voltage Control with Peer-to-peer Energy Trading in a Distribution Network. - Chen Feng; Yihsu Chen; Andrew Lu Liu (HICSS, 2023)

Comparisons of Auction Designs Through Multiagent Learning in Peer-to-Peer Energy Trading. - Zibo Zhao; Chen Feng; Andrew L. Liu (IEEE Trans. Smart Grid, 2023)

Networked Multiagent Reinforcement Learning for Peer-to-Peer Energy Trading. - Chen Feng; Andrew L. Liu (CoRR, 2024)

Evaluating the Impact of Multiple DER Aggregators on Wholesale Energy Markets: A Hybrid Mean Field Approach. - Jun He; Andrew L. Liu (CoRR, 2024)

Decentralized Integration of Grid Edge Resources into Wholesale Electricity Markets via Mean-field Games. - Chen Feng; Andrew L. Liu (CoRR, 2025)

A Hybrid Mean Field Framework for Aggregators Participating in Wholesale Electricity Markets. - Jun He; Andrew L. Liu (CoRR, 2025)