DocumentCode
1187112
Title
ARIMA Models to Predict Next-Day Electricity Prices
Author
Contreras, Javier ; Espinola, Rosario ; Nogales, F. J. ; Conejo, Antonio J.
Author_Institution
Universidad De Castilla-La Mancha
Volume
22
Issue
9
fYear
2002
Firstpage
57
Lastpage
57
Abstract
Price forecasting is becoming increasingly relevant to producers and consumers in the new competitive electric power markets. Both for spot markets and long-term contracts, price forecasts are necessary to develop bidding strategies or negotiation skills in order to maximize benefit. This paper provides a method to predict next-day electricity prices based on the ARIMA methodology. ARIMA techniques are used to analyze time series and, in the past, have been mainly used for load forecasting due to their accuracy and mathematical soundness. A detailed explanation of the aforementioned ARIMA models and results from mainland Spain and Californian markets are presented.
Keywords
Analytical models; Contracts; Economic forecasting; Lagrangian functions; Power system simulation; Power system stability; Predictive models; Protection; Time series analysis; Voltage control; ARIMA models; Electricity markets; forecasting; market clearing price; time series analysis;
fLanguage
English
Journal_Title
Power Engineering Review, IEEE
Publisher
ieee
ISSN
0272-1724
Type
jour
DOI
10.1109/MPER.2002.4312577
Filename
4312577
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