Title :
Multiagent system for adaptive strategy formulation in electricity markets
Author :
Pinto, Tiago ; Vale, Zita ; Rodrigues, Fátima ; Praça, Isabel ; Morais, Hugo
Author_Institution :
GECAD - Knowledge Eng. & Decision Support Res. Center, Inst. of Eng. - Polytech. of Porto (ISEP/IPP), Porto, Portugal
Abstract :
Electricity markets are complex environments with very particular characteristics. MASCEM is a market simulator developed to allow deep studies of the interactions between the players that take part in the electricity market negotiations. This paper presents a new proposal for the definition of MASCEM players´ strategies to negotiate in the market. The proposed methodology is multiagent based, using reinforcement learning algorithms to provide players with the capabilities to perceive the changes in the environment, while adapting their bids formulation according to their needs, using a set of different techniques that are at their disposal.
Keywords :
multi-agent systems; power markets; public utilities; MASCEM; adaptive strategy formulation; electricity market; market simulator; multiagent system; Adaptation models; Artificial neural networks; Data models; Databases; Electricity supply industry; Learning; Multiagent systems; adaptive learning; data-mining techniques; electricity markets; forecasting methods; multiagent systems;
Conference_Titel :
Intelligent Agent (IA), 2011 IEEE Symposium on
Conference_Location :
Paris
Print_ISBN :
978-1-61284-059-8
DOI :
10.1109/IA.2011.5953609
