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. We can observe that hybrid artificial intelligence systems are common in EM. An extensive bibliography is also included.
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Mejía-Lavalle, M., Sosa R., R., González M., N., Argotte R., L. (2009). Survey of Business Intelligence for Energy Markets. In: Corchado, E., Wu, X., Oja, E., Herrero, Á., Baruque, B. (eds) Hybrid Artificial Intelligence Systems. HAIS 2009. Lecture Notes in Computer Science(), vol 5572. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-02319-4_28
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DOI: https://doi.org/10.1007/978-3-642-02319-4_28
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