Title :
Virtual power producers market strategies
Author :
Morais, H. ; Cardoso, M. ; Khodr, H. ; Praça, I. ; Vale, Z.
Author_Institution :
GECAD - Knowledge Eng. & Decision-Support Res. Group, Polytech. Inst. of Porto, Porto
Abstract :
This paper presents MASCEM - a multi-agent based electricity market simulator. MASCEM uses game theory, machine learning techniques, scenario analysis and optimisation techniques to model market agents and to provide them with decision-support.
Keywords :
learning (artificial intelligence); power engineering computing; power markets; game theory; machine learning techniques; market agents; market strategies; multi-agent based electricity market simulator; optimisation techniques; scenario analysis; virtual power producers; Electricity supply industry; Electronic mail; Energy management; Forward contracts; Game theory; Intelligent agent; Knowledge engineering; Machine learning; Power generation; Production; Distributed Generation; Electricity Markets; Intelligent Agents Coalitions; Virtual Power Producers;
Conference_Titel :
Electricity Market, 2008. EEM 2008. 5th International Conference on European
Conference_Location :
Lisboa
Print_ISBN :
978-1-4244-1743-8
Electronic_ISBN :
978-1-4244-1744-5
DOI :
10.1109/EEM.2008.4579099
