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Short-term electricity price forecasting with time series models: A review and evaluation

Rafał Weron and Adam Misiorek

No HSC/06/01, HSC Research Reports from Hugo Steinhaus Center, Wroclaw University of Science and Technology

Abstract: We investigate the forecasting power of different time series models for electricity spot prices. The models include different specifications of linear autoregressive time series with heteroscedastic noise and/or additional fundamental variables and non-linear regime-switching TAR-type models. The models are tested on a time series of hourly system prices and loads from the California power market. Data from the period July 5, 1999 - April 2, 2000 are used for calibration and from the period April 3 - December 3, 2000 for out-of-sample testing.

Keywords: Electricity price forecasting; Autoregression (AR) model; Threshold Autoregression (TAR) model; Electricity load (search for similar items in EconPapers)
JEL-codes: C22 C53 Q47 (search for similar items in EconPapers)
Pages: 22 pages
Date: 2006
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (16)

Published in "Complex Electricity Markets", ed. W. Mielczarski, Chapter 10, 231-254 (2006).

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