Prediccion de los precios de contratos de electricidad usando programacion genetica con bloques funcionales

Created by W.Langdon from gp-bibliography.bib Revision:1.8806

@Article{Martinez:2014:Medellin,

• author = "Carlos A Martinez and Juan D. Velasquez",
• title = "Prediccion de los precios de contratos de electricidad usando programacion genetica con bloques funcionales",
• title_en = "Electricity contract price prediction using genetic programming with functional blocks",
• year = "2014",
• journal = "Revista de Ingenierias: Universidad de Medellin",
• number = "24",
• volume = "13",
• pages = "77--87",
• month = jun,
• keywords = "genetic algorithms, genetic programming, electricity prices, prediction, time series, functional blocks, precios de la electricidad, programacion genetica, prediccion, series de tiempo, bloques funcionales",
• ISSN = "1692-3324",
• bibsource = "OAI-PMH server at dialnet.unirioja.es",
• identifier = "(Revista) ISSN 1692-3324",
• language = "spa",
• oai = "oai:dialnet.unirioja.es:ART0000748139",
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• URL = "http://dialnet.unirioja.es/servlet/oaiart?codigo=4993242",
• URL = "https://revistas.udem.edu.co/index.php/ingenierias/article/view/917",
• URL = "https://revistas.udem.edu.co/index.php/ingenierias/article/view/917/922",
• DOI = "10.22395/rium.v13n24a5",
• size = "12 pages",
• abstract = "The prediction of the prices of the contracts in non-regulated electric energy markets is the key for the market agents to make strategic business and operational decisions. The average prices of the contracts sold in the Colombian electric energy market are predicted in this study by means of a modified genetic programming algorithm. The developed model is capable of capturing the intrinsic dynamics of the prices and the price predictions for the upcoming months with a more accurate precision than the ARIMA and DAN2 models for prediction horizons of 12 and 14 months, as they have been reported in the literature.",
• abstract = "La predicci{\'o}n de los precios de los contratos en los mercados energ{\'e}ticos~desregularizados es la clave para la toma de decisiones estrat{\'e}gicas~de negocio y operativas por los agentes del mercado. En este trabajo se~predicen los precios promedio de los contratos vendidos en el mercado~el{\'e}ctrico colombiano, utilizando un algoritmo de programaci{\'o}n gen{\'e}tica~modificado. El modelo desarrollado es capaz de capturar la din{\'a}mica~intr{\'i}nseca de los precios y las predicciones de precios para los pr{\'o}ximos~meses con mayor precisi{\'o}n que los modelos ARIMA y DAN2 para horizontes~de predicci{\'o}n de 12 y 24 meses, reportados en la literatura",
• notes = "in spanish",

}

Genetic Programming entries for Carlos Alberto Martinez Juan David Velasquez Henao

Citations