MODELING OF BIDDING PRICES IN POWER MARKETS USING CLUSTERING AND FUZZY ASSOCIATION RULES

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Autor principal: LUIS EDUARDO GALLEGO VEGA
Formato: Artículo científico
Lenguaje:en
Publicado: Universidad Nacional de Colombia 2011
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author LUIS EDUARDO GALLEGO VEGA
author_facet LUIS EDUARDO GALLEGO VEGA
contents MODELING OF BIDDING PRICES IN POWER MARKETS USING CLUSTERING AND FUZZY ASSOCIATION RULES LUIS EDUARDO GALLEGO VEGA OSCAR GERMAN DUARTE VELASCO Ingeniería Bidding prices electricity market pattern recognition In this paper, a strategy for discovering patterns over the continuous domain of bidding prices is proposed. In particular, the proposed method represents bidding functions as points in a multidimensional space where a clustering algorithm is applied. Also, as a result of this method, a dramatic reduction over the search space of bidding strategies is achieved. In addition, some relations of dominance over bidding strategies are found, improving the pattern recognition process of agents' bidding behavior. This method is applied on the bidding prices database for some GENCOs of the Colombian power (electricity) market. Furthermore, an application of some data mining algorithms is presented with the purpose of quantifying some hypothesis formulated on the effect of hydrology over both spot and bidding prices. 2011 artículo científico 0012-7353 https://www.redalyc.org/articulo.oa?id=49622365014 en http://www.redalyc.org/revista.oa?id=496 Dyna application/pdf Universidad Nacional de Colombia Dyna (Colombia) Num.166 Vol.78
format Artículo científico
id redalyc_49622365014
institution Redalyc
language en
publishDate 2011
publisher Universidad Nacional de Colombia
spellingShingle MODELING OF BIDDING PRICES IN POWER MARKETS USING CLUSTERING AND FUZZY ASSOCIATION RULES
LUIS EDUARDO GALLEGO VEGA
Ingeniería
Bidding prices
electricity market
pattern recognition
MODELING OF BIDDING PRICES IN POWER MARKETS USING CLUSTERING AND FUZZY ASSOCIATION RULES LUIS EDUARDO GALLEGO VEGA OSCAR GERMAN DUARTE VELASCO Ingeniería Bidding prices electricity market pattern recognition In this paper, a strategy for discovering patterns over the continuous domain of bidding prices is proposed. In particular, the proposed method represents bidding functions as points in a multidimensional space where a clustering algorithm is applied. Also, as a result of this method, a dramatic reduction over the search space of bidding strategies is achieved. In addition, some relations of dominance over bidding strategies are found, improving the pattern recognition process of agents' bidding behavior. This method is applied on the bidding prices database for some GENCOs of the Colombian power (electricity) market. Furthermore, an application of some data mining algorithms is presented with the purpose of quantifying some hypothesis formulated on the effect of hydrology over both spot and bidding prices. 2011 artículo científico 0012-7353 https://www.redalyc.org/articulo.oa?id=49622365014 en http://www.redalyc.org/revista.oa?id=496 Dyna application/pdf Universidad Nacional de Colombia Dyna (Colombia) Num.166 Vol.78
title MODELING OF BIDDING PRICES IN POWER MARKETS USING CLUSTERING AND FUZZY ASSOCIATION RULES
topic Ingeniería
Bidding prices
electricity market
pattern recognition
url https://www.redalyc.org/articulo.oa?id=49622365014