• 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