Identifying spikes and seasonal components in electricity spot price data: A guide to robust modeling

Joanna Janczura, Stefan Trueck (), Rafał Weron and Rodney Wolff

MPRA Paper from University Library of Munich, Germany

Abstract: An important issue in fitting stochastic models to electricity spot prices is the estimation of a component to deal with trends and seasonality in the data. Unfortunately, estimation routines for the long-term and short-term seasonal pattern are usually quite sensitive to extreme observations, known as electricity price spikes. Improved robustness of the model can be achieved by (a) filtering the data with some reasonable procedure for outlier detection, and then (b) using estimation and testing procedures on the filtered data. In this paper we examine the effects of different treatment of extreme observations on model estimation and on determining the number of spikes (outliers). In particular we compare results for the estimation of the seasonal and stochastic components of electricity spot prices using either the original or filtered data. We find significant evidence for a superior estimation of both the seasonal short-term and long-term components when the data have been treated carefully for outliers. Overall, our findings point out the substantial impact the treatment of extreme observations may have on these issues and, therefore, also on the pricing of electricity derivatives like futures and option contracts. An added value of our study is the ranking of different filtering techniques used in the energy economics literature, suggesting which methods could be and which should not be used for spike identification.

Keywords: Electricity spot price; Outlier treatment; Price spike; Robust modeling; Seasonality (search for similar items in EconPapers)
JEL-codes: C51 C52 C80 Q47 (search for similar items in EconPapers)
Date: 2012-06-06
New Economics Papers: this item is included in nep-ecm and nep-ene
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (5)

Downloads: (external link)
https://mpra.ub.uni-muenchen.de/39277/1/MPRA_paper_39277.pdf original version (application/pdf)

Related works:
Journal Article: Identifying spikes and seasonal components in electricity spot price data: A guide to robust modeling (2013)
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:pra:mprapa:39277

Access Statistics for this paper

More papers in MPRA Paper from University Library of Munich, Germany Ludwigstraße 33, D-80539 Munich, Germany. Contact information at EDIRC.
Bibliographic data for series maintained by Joachim Winter ().