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
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;
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
DOI :
10.1109/ISAP.2009.5352918