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