Forecasting prices in the liberalized electricity market using the hybrid models

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.