Andrew L. Liu - RankMe

23 papers Journal 20Unranked 3

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	A Power Market Model with Hypersaclers and Modular Datacenters. CoRR Yihsu Chen, Abel Souza, Fargol Nematkhah, Andrew L. Liu
2026	J	`jnl`	Efficient Causal Structure Learning via Modular Subgraph Integration. CoRR Haixiang Sun, Pengchao Tian, Zihan Zhou, Jielei Zhang, Peiyi Li, Andrew L. Liu
2026	J	`jnl`	Robust Generalization with Adaptive Optimal Transport Priors for Decision-Focused Learning. CoRR Haixiang Sun, Andrew L. Liu
2025	J	`jnl`	A Hybrid Mean Field Framework for Aggregators Participating in Wholesale Electricity Markets. CoRR Jun He, Andrew L. Liu
2025	J	`jnl`	Decentralized Integration of Grid Edge Resources into Wholesale Electricity Markets via Mean-field Games. CoRR Chen Feng, Andrew L. Liu
2025	J	`jnl`	Learning in Stackelberg Markov Games. CoRR Jun He, Andrew L. Liu, Yihsu Chen
2024	J	`jnl`	Evaluating the Impact of Multiple DER Aggregators on Wholesale Energy Markets: A Hybrid Mean Field Approach. CoRR Jun He, Andrew L. Liu
2024	J	`jnl`	Networked Multiagent Reinforcement Learning for Peer-to-Peer Energy Trading. CoRR Chen Feng, Andrew L. Liu
2023	J	`jnl`	Comparisons of Auction Designs Through Multiagent Learning in Peer-to-Peer Energy Trading. IEEE Trans. Smart Grid Zibo Zhao, Chen Feng, Andrew L. Liu
2022	J	`jnl`	A Nested Cross Decomposition Algorithm for Power System Capacity Expansion with Multiscale Uncertainties. INFORMS J. Comput. Zhouchun Huang, Qipeng P. Zheng, Andrew L. Liu
2022	J	`jnl`	Optimal Retail Tariff Design with Prosumers: Pursuing Equity at the Expenses of Economic Efficiencies? CoRR Yihsu Chen, Andrew L. Liu, Makoto Tanaka, Ryuta Takashima
2021	J	`jnl`	A Nested Cross Decomposition Algorithm for Power System Capacity Expansion with Multiscale Uncertainties. CoRR Zhouchun Huang, Qipeng P. Zheng, Andrew L. Liu
2021	J	`jnl`	A distributed algorithm for high-dimension convex quadratically constrained quadratic programs. Comput. Optim. Appl. Run Chen, Andrew L. Liu
2021	J	`jnl`	Equilibrium strategies for multiple interdictors on a common network. Eur. J. Oper. Res. Harikrishnan Sreekumaran, Ashish Ranjan Hota, Andrew L. Liu, Nelson A. Uhan, Shreyas Sundaram
2021	—	`conf`	Multi-Agent Learning in Repeated Double-side Auctions for Peer-to-peer Energy Trading. HICSS Andrew L. Liu, Zibo Zhao
2020	J	`jnl`	A Distributed Optimization Approach to the Multi-Regional Day-Ahead Clearing Process in Electricity Markets. CoRR Veronica R. Bosquezfoti, Andrew L. Liu
2020	J	`jnl`	Multi-Agent Learning in Double-side Auctions forPeer-to-peer Energy Trading. CoRR Zibo Zhao, Andrew L. Liu
2019	J	`jnl`	A Decomposition Method for Large-scale Convex Quadratically Constrained Quadratic Programs. CoRR Run Chen, Andrew L. Liu
2018	—	`conf`	Electricity Demand Response under Real-Time Pricing: A Multi-armed Bandit Game. APSIPA Zibo Zhao, Andrew L. Liu, Yihsu Chen
2013	J	`jnl`	On Nash-Cournot games with price caps. Oper. Res. Lett. Lanshan Han, Andrew L. Liu
2013	J	`jnl`	Tacit collusion games in pool-based electricity markets under transmission constraints. Math. Program. Andrew L. Liu, Benjamin F. Hobbs
2011	J	`jnl`	Economic and Emissions Implications of Load-Based, Source-Based, and First-Seller Emissions Trading Programs Under California AB32. Oper. Res. Yihsu Chen, Andrew L. Liu, Benjamin F. Hobbs
2010	—	`conf`	Repeated games in electricity spot and forward markets - An equilibrium modeling and computational framework. Allerton Andrew L. Liu