Survey of Business Intelligence for Energy Markets

  • Manuel Mejía-Lavalle
  • Ricardo Sosa R.
  • Nemorio González M.
  • Liliana Argotte R.
Part of the Lecture Notes in Computer Science book series (LNCS, volume 5572)


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. We can observe that hybrid artificial intelligence systems are common in EM. An extensive bibliography is also included.


Power System Electricity Market Customer Relationship Management Data Mining Technique Energy Market 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


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Copyright information

© Springer-Verlag Berlin Heidelberg 2009

Authors and Affiliations

  • Manuel Mejía-Lavalle
    • 1
  • Ricardo Sosa R.
    • 2
  • Nemorio González M.
    • 2
  • Liliana Argotte R.
    • 1
  1. 1.Instituto de Investigaciones EléctricasCuernavaca, MorelosMéxico
  2. 2.Centro Nacional de Control de Energía CFEMéxico

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