DocumentCode :
753483
Title :
ARIMA models to predict next-day electricity prices
Author :
Contreras, Javier ; Espínola, Rosario ; Nogales, Francisco J. ; Conejo, Antonio J.
Author_Institution :
E.T.S. de Ingenicros Industriales, Univ. de Castilla-La Mancha, Ciudad Real, Spain
Volume :
18
Issue :
3
fYear :
2003
Firstpage :
1014
Lastpage :
1020
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 :
costing; power markets; power system economics; time series; ARIMA models; California; Spain; bidding strategies; competitive electric power markets; electricity price forecasting; long-term contracts; mathematical soundness; negotiation skills; next-day electricity prices prediction; spot markets; time series; Artificial neural networks; Contracts; Economic forecasting; Electricity supply industry; Energy consumption; Instruments; Load forecasting; Power system modeling; Predictive models; Time series analysis;
fLanguage :
English
Journal_Title :
Power Systems, IEEE Transactions on
Publisher :
ieee
ISSN :
0885-8950
Type :
jour
DOI :
10.1109/TPWRS.2002.804943
Filename :
1216141
Link To Document :
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