A longitudinal model for MIBEL energy prices

Ana Borges, Eliana Costa E. Silva, Ricardo Covas

Research output: Contribution to journalArticlepeer-review

1 Citation (Scopus)

Abstract

We propose to contribute to the problematic of Electricity Price Forecasting with a longitudinal statistical approach. We focus our interest on forecasting intra-day prices using hourly data (disaggregated data) in a multivariate approach rather than in the usually used univariate approach, by adjusting a mixed-effects longitudinal model to the Iberian Electricity Market hourly prices from January 1th 2015 to June 26th 2016, in a total of 13 032 observations. Results indicate that a longitudinal approach considering a mixed-effects model, with month and weekday as fixed effects, hour group as random effect and an AutoRegressive component of order 7 describing the within hour dependence, yield a model that explains the intra-day and intra-hour dynamics for the electricity hourly prices.
Original languageEnglish
Pages (from-to)26-33
Number of pages8
JournalWSEAS TRANSACTIONS on SYSTEMS and CONTROL
Volume13
Publication statusPublished - 2018

Keywords

  • Electricity price forecasting
  • Longitudinal mixed-effects model
  • MIBEL

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