DocumentCode :
3068626
Title :
Evolutionary representation of energy markets and systems
Author :
Pinto, L. ; Szczupak, J. ; Ramos, D.
Author_Institution :
Engenho, Rio de Janeiro, Brazil
Volume :
4
fYear :
2003
fDate :
23-26 June 2003
Abstract :
This paper presents the application of a new branch of the economical theory - evolutionary games and bounded rationality - to energy markets under development. The model is able to correctly represent 1) all traditional physical system characteristics, 2) agent´s behavior, including bounded rationality, lack of information, learning capability, etc. 3) market´s dynamics and evolution, including responses to players´ actions, regulatory changes, consumers´ reactions, etc. A case study with a realistic market illustrates the proposed model. More than just an equilibrium solution, the proposed model is able to completely describe the process that led to this point, including agent´s learning dynamics (with successes and failures), market responses, etc.
Keywords :
game theory; genetic algorithms; power markets; bounded rationality; energy markets; evolutionary games; Emotion recognition; Game theory; History; Humans; Mathematical model; Power generation economics; Psychology;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Power Tech Conference Proceedings, 2003 IEEE Bologna
Print_ISBN :
0-7803-7967-5
Type :
conf
DOI :
10.1109/PTC.2003.1304779
Filename :
1304779
Link To Document :
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