• DocumentCode
    2672018
  • Title

    Business Intelligence and Energy Markets: A Survey

  • Author

    Argotte, Liliana ; Mejía-Lavalle, Manuel ; Sosa, Ricardo

  • Author_Institution
    Inf. Syst. Dept., Electr. Res. Inst., Cuernavaca, Mexico
  • fYear
    2009
  • fDate
    8-12 Nov. 2009
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    Today, there is the need for establishing a strong relationship between Business Intelligence (BI) and Energy Markets (EM). This is crucial because of enormous and increasing data volumes generated and stored day by day in the EM. The data volume turns impossible to obtain clear data understanding through human analysis or with traditional tools. BI can be the solution. In this sense, we present a comprehensive survey related with the BI applications for the EM, in order to show trends and useful methods for tackling down every day EM challenges. We outline how BI approach can effectively support a variety of difficult and challenging EM issues like prediction, pattern recognition, modeling and others. An extensive bibliography is also included.
  • Keywords
    competitive intelligence; power markets; business intelligence; energy markets; human analysis; pattern recognition; Artificial intelligence; Bismuth; Contracts; Control systems; Databases; Humans; Information systems; Machine learning algorithms; Pattern recognition; Predictive models; Business Intelligence; Data quality; Energy Markets; Modeling; Pattern recognition; Prediction;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent System Applications to Power Systems, 2009. ISAP '09. 15th International Conference on
  • Conference_Location
    Curitiba
  • Print_ISBN
    978-1-4244-5097-8
  • Type

    conf

  • DOI
    10.1109/ISAP.2009.5352918
  • Filename
    5352918