Modeling hourly Electricity Spot Market Prices as non stationary functional times series
AbstractThe instantaneous nature of electricity distinguishes its spot prices from spot prices for equities and other commodities. Up to now electricity cannot be stored economically and therefore demand for electricity has an untempered effect on electricity prices. In particular, hourly electricity spot prices show a vast range of dynamics which can change rapidly. In this paper we introduce a robust version of functional principal component analysis for sparse data. The functional perspective interprets spot prices as functions of demand for electricity and allows to estimate a single price curve for each day. Variations in market fundamentals such as commodity prices are absorbed by the first principal components.
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Bibliographic InfoPaper provided by University Library of Munich, Germany in its series MPRA Paper with number 25017.
Date of creation: Sep 2010
Date of revision:
Functional principal component analysis; non stationary functional time series data; sparse data; electricity spot market prices; European Electricity Exchange (EEX).;
Find related papers by JEL classification:
- C14 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Semiparametric and Nonparametric Methods: General
- C01 - Mathematical and Quantitative Methods - - General - - - Econometrics
- C1 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General
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