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
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;
Conference_Titel :
Energy Conference and Exhibition (EnergyCon), 2010 IEEE International
Conference_Location :
Manama
Print_ISBN :
978-1-4244-9378-4
DOI :
10.1109/ENERGYCON.2010.5771706
