Multi-agent based experimental analysis on bidding mechanism in electricity auction markets-Reference-Cited by-同舟云学术

Multi-agent based experimental analysis on bidding mechanism in electricity auction markets

Published:2012-12 Issue:1 Volume:43 Page:696-702
ISSN:0142-0615
Container-title:International Journal of Electrical Power & Energy Systems
language:en
Short-container-title:International Journal of Electrical Power & Energy Systems

Author:

Liu Zhen,Yan Jianming,Shi Yuren,Zhu Kaiwei,Pu Gangqing

Publisher

Elsevier BV

Subject

Electrical and Electronic Engineering,Energy Engineering and Power Technology

Reference34 articles.

1. A multi-agent model of the UK market in electricity generation;Bagnall;IEEE Trans Evol Comput,2005

2. Research on incentive bidding mechanism to coordinate the electric power and emission–reduction of the generator;Liu;Int J Electr Power Energy Syst,2010

3. Analyzing oligopolistic electricity market using co-evolutionary computation;Chen;IEEE Trans Power Syst,2006

4. Auction theory and its application in electricity market auction design part two application theory in electricity market auction design;Haoyong;Automat Electric Power Syst,2003

5. An agent-based analysis of the German electricity market with transmission capacity constraints;Veit;Energy Policy,2009

Cited by 27 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Low-carbon technology adoption and diffusion with heterogeneity in the emissions trading scheme;Applied Energy;2024-09

2. Generative Data-Driven Modeling of Aggregated Demand Curve in Day-Ahead Market;2023 IEEE/IAS Industrial and Commercial Power System Asia (I&CPS Asia);2023-07-07

3. Impact of Electricity Price Expectation in the Planning Period on the Evolution of Generation Expansion Planning in the Market Environment;Energies;2023-04-08

4. Trading, storage, or penalty? Uncovering firms' decision-making behavior in the Shanghai emissions trading scheme: Insights from agent-based modeling;Energy Economics;2023-01

5. PV Penetration under Market Environment and with System Constraints;Energies;2022-11-18