DocumentCode
3642295
Title
Electricity price forecasting — ARIMA model approach
Author
Tina Jakaša;Ivan Andročec;Petar Sprčić
Author_Institution
Hrvatska elektroprivreda Ulica grada Vukovara 37, Zagreb, Croatia
fYear
2011
fDate
5/1/2011 12:00:00 AM
Firstpage
222
Lastpage
225
Abstract
Electricity price forecasting is becoming more important in everyday business of power utilities. Good forecasting models can increase effectiveness of producers and buyers playing roles in electricity market. Price is also a very important element in investment planning process. This paper presents a forecasting technique to model day-ahead spot price using well known ARIMA model to analyze and forecast time series. The model is applied to time series consisting of day-ahead electricity prices from EPEX power exchange.
Keywords
"Predictive models","Electricity","Time series analysis","Forecasting","Data models","Additives","Electricity supply industry"
Publisher
ieee
Conference_Titel
Energy Market (EEM), 2011 8th International Conference on the European
Print_ISBN
978-1-61284-285-1
Type
conf
DOI
10.1109/EEM.2011.5953012
Filename
5953012
Link To Document