DocumentCode
2303860
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
fYear
2008
fDate
28-30 May 2008
Firstpage
1
Lastpage
6
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;
fLanguage
English
Publisher
ieee
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
Type
conf
DOI
10.1109/EEM.2008.4579099
Filename
4579099
Link To Document