Abstract
Electricity markets worldwide suffered profound transformations. The privatization of previously nationally owned systems; the deregulation of privately owned systems that were regulated; and the strong interconnection of national systems, are some examples of such transformations [1, 2]. In general, competitive environments, as is the case of electricity markets, require good decision-support tools to assist players in their decisions. Relevant research is being undertaken in this field, namely concerning player modeling and simulation, strategic bidding and decision-support. © 2014 Springer International Publishing Switzerland.
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CITATION STYLE
Pereira, I. F., Sousa, T. M., Praca, I., Freitas, A., Pinto, T., Vale, Z., & Morais, H. (2014). Automatic electricity markets data extraction for realistic multi-agent simulations. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 8473 LNAI, pp. 371–374). Springer Verlag. https://doi.org/10.1007/978-3-319-07551-8_41
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