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
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