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ORCIDAndrew L. Liu
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- affiliation: Purdue University, West Lafayette, IN, USA
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2020 – today
- 2024
[i9]Chen Feng, Andrew L. Liu:
Networked Multiagent Reinforcement Learning for Peer-to-Peer Energy Trading. CoRR abs/2401.13947 (2024)- [i8]Jun He, Andrew L. Liu:
Evaluating the Impact of Multiple DER Aggregators on Wholesale Energy Markets: A Hybrid Mean Field Approach. CoRR abs/2409.00107 (2024) - 2023
- [j7]Zibo Zhao, Chen Feng
, Andrew L. Liu:
Comparisons of Auction Designs Through Multiagent Learning in Peer-to-Peer Energy Trading. IEEE Trans. Smart Grid 14(1): 593-605 (2023) - [c4]Chen Feng, Yihsu Chen, Andrew Lu Liu:
Decentralized Voltage Control with Peer-to-peer Energy Trading in a Distribution Network. HICSS 2023: 2600-2609 - 2022
- [j6]Zhouchun Huang, Qipeng P. Zheng, Andrew L. Liu:
A Nested Cross Decomposition Algorithm for Power System Capacity Expansion with Multiscale Uncertainties. INFORMS J. Comput. 34(4): 1919-1939 (2022) - [i7]Yihsu Chen, Andrew L. Liu, Makoto Tanaka, Ryuta Takashima:
Optimal Retail Tariff Design with Prosumers: Pursuing Equity at the Expenses of Economic Efficiencies? CoRR abs/2209.14505 (2022) - [i6]Chen Feng, Andrew L. Lu, Yihsu Chen:
Decentralized Voltage Control with Peer-to-peer Energy Trading in a Distribution Network. CoRR abs/2212.14156 (2022) - 2021
- [j5]Run Chen, Andrew L. Liu:
A distributed algorithm for high-dimension convex quadratically constrained quadratic programs. Comput. Optim. Appl. 80(3): 781-830 (2021) - [j4]Harikrishnan Sreekumaran, Ashish Ranjan Hota, Andrew L. Liu, Nelson A. Uhan, Shreyas Sundaram:
Equilibrium strategies for multiple interdictors on a common network. Eur. J. Oper. Res. 288(2): 523-538 (2021) - [c3]Andrew L. Liu, Zibo Zhao:
Multi-Agent Learning in Repeated Double-side Auctions for Peer-to-peer Energy Trading. HICSS 2021: 1-10 - [i5]Zhouchun Huang, Qipeng P. Zheng, Andrew L. Liu:
A Nested Cross Decomposition Algorithm for Power System Capacity Expansion with Multiscale Uncertainties. CoRR abs/2108.08545 (2021) - [i4]Zibo Zhao, Chen Feng, Andrew L. Lu:
Auction Design through Multi-Agent Learning in Peer-to-Peer Energy Trading. CoRR abs/2110.10714 (2021) - 2020
- [i3]Zibo Zhao, Andrew L. Liu:
Multi-Agent Learning in Double-side Auctions forPeer-to-peer Energy Trading. CoRR abs/2002.09435 (2020) - [i2]Veronica R. Bosquezfoti, Andrew L. Liu:
A Distributed Optimization Approach to the Multi-Regional Day-Ahead Clearing Process in Electricity Markets. CoRR abs/2012.13852 (2020)
2010 – 2019
- 2019
- [i1]Run Chen, Andrew L. Liu:
A Decomposition Method for Large-scale Convex Quadratically Constrained Quadratic Programs. CoRR abs/1909.00083 (2019) - 2018
- [c2]Zibo Zhao, Andrew L. Liu, Yihsu Chen:
Electricity Demand Response under Real-Time Pricing: A Multi-armed Bandit Game. APSIPA 2018: 748-756 - 2013
- [j3]Andrew L. Liu, Benjamin F. Hobbs:
Tacit collusion games in pool-based electricity markets under transmission constraints. Math. Program. 140(2): 351-379 (2013) - [j2]Lanshan Han, Andrew L. Liu:
On Nash-Cournot games with price caps. Oper. Res. Lett. 41(1): 92-97 (2013) - 2011
- [j1]Yihsu Chen, Andrew L. Liu, Benjamin F. Hobbs:
Economic and Emissions Implications of Load-Based, Source-Based, and First-Seller Emissions Trading Programs Under California AB32. Oper. Res. 59(3): 696-712 (2011) - 2010
- [c1]Andrew L. Liu:
Repeated games in electricity spot and forward markets - An equilibrium modeling and computational framework. Allerton 2010: 66-71
Coauthor Index
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