DocumentCode
3188968
Title
Forecasting prices in the liberalized electricity market using the hybrid models
Author
Kurbatsky, Victor ; Tomin, Nikita
Author_Institution
Electr. Power Syst. Dept., SB RAS, Irkutsk, Russia
fYear
2010
fDate
18-22 Dec. 2010
Firstpage
363
Lastpage
368
Abstract
The paper presents the results of experimental studies of forecasting prices in the liberalized electricity market. To increase the accuracy price forecasting proposes the hybrid models based on joint usage of the neural network technologies together with Hilbert-Huang Transform. The application of developed hybrid models for hourly prices forecasting has demonstrated the whole accuracy increase forecast.
Keywords
Hilbert transforms; economic forecasting; neural nets; power engineering computing; power markets; pricing; Hilbert-Huang Transform; hourly prices forecasting; hybrid models; liberalized electricity market; neural network technologies; Accuracy; Artificial neural networks; Electricity; Electricity supply industry; Forecasting; Predictive models; Transforms;
fLanguage
English
Publisher
ieee
Conference_Titel
Energy Conference and Exhibition (EnergyCon), 2010 IEEE International
Conference_Location
Manama
Print_ISBN
978-1-4244-9378-4
Type
conf
DOI
10.1109/ENERGYCON.2010.5771706
Filename
5771706
Link To Document