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Martins, A. A. A. F., Lagarto, J. & Cardoso, M. G. M. S. (2019). Prices in the electricity Iberian market– a clustering approach. XXVI Jornadas de Classificação e Análise de Dados – JOCLAD 2019.
A. A. Martins et al., "Prices in the electricity Iberian market– a clustering approach", in XXVI Jornadas de Classificação e Análise de Dados – JOCLAD 2019, Viseu, 2019
@misc{martins2019_1766372326191,
author = "Martins, A. A. A. F. and Lagarto, J. and Cardoso, M. G. M. S.",
title = "Prices in the electricity Iberian market– a clustering approach",
year = "2019",
howpublished = "Ambos (impresso e digital)",
url = "http://www.joclad.ipt.pt/joclad2019/"
}
TY - CPAPER TI - Prices in the electricity Iberian market– a clustering approach T2 - XXVI Jornadas de Classificação e Análise de Dados – JOCLAD 2019 AU - Martins, A. A. A. F. AU - Lagarto, J. AU - Cardoso, M. G. M. S. PY - 2019 CY - Viseu UR - http://www.joclad.ipt.pt/joclad2019/ AB - Aiming to better understand daily patterns of price in the Iberian Electricity Market (MIBEL) we resort to a clustering analysis. The data regards the hourly prices of electricity, in e/MWh, observed in the day-ahead MIBEL market between 2016 and 2018. We propose clustering daily time series to obtain groups of similar days according to the variation of the price throughout the day. Alternative distance measures between time series are considered: Euclidean, Pearson correlation and Periodogram based measures. K-Medoids algorithm is used to form the clusters. The clustering solutions are selected by resorting to several cohesion-separation measures. Finally, clusters are profiled. ER -
English