A multi-agent system for the support of producer coalition formation in electricity markets

Author(s):  
Isabel Praça ◽  
André Andrade ◽  
Hugo Morais ◽  
Marílio Cardoso ◽  
Carlos Ramos ◽  
...  



Author(s):  
Tiago Pinto ◽  
Zita Vale

This paper presents the Adaptive Decision Support for Electricity Markets Negotiations (AiD-EM) system. AiD-EM is a multi-agent system that provides decision support to market players by incorporating multiple sub-(agent-based) systems, directed to the decision support of specific problems. These sub-systems make use of different artificial intelligence methodologies, such as machine learning and evolutionary computing, to enable players adaptation in the planning phase and in actual negotiations in auction-based markets and bilateral negotiations. AiD-EM demonstration is enabled by its connection to MASCEM (Multi-Agent Simulator of Competitive Electricity Markets).



2011 ◽  
Vol 71-78 ◽  
pp. 4333-4336
Author(s):  
Juan Hu ◽  
Li Tu ◽  
Quan Feng Yan

Coalition formation of the Multi-Agent System is a key issue, mainly focuses on how Multi-Agent System dynamically generate optimal task-oriented Agent Coalition. This article will discusses the formation of Agent coalition applying genetic algorithm to the formation of Agent coalition, Experimental results show that the genetic algorithm can quickly and efficiently identify Agent coalition. Furthermore the performance and convergence rate are better than correlation algorithm.



2014 ◽  
Vol 2 ◽  
pp. 471-474
Author(s):  
Takashi TOYOFUKU ◽  
Kunihiko MITSUBORI






Sign in / Sign up

Export Citation Format

Share Document