Long Term Power Load Combination Forecasting Based on Chaos-Fractal Theory in Beijing
Guest Editor Yuantao Teng (Jilin Normal University, Shiping City, China)
Long term power load has a big impact on the development of industry of power. The forecasting models of linear systems even a single forecasting model of the nonlinear systems can not forecast the long term power load greatly. In the study, the combined forecasting model of nonlinear systems including chaos and fractal was established to improve the accuracy of the forecast. First, the characteristics of chaos and fractal of data were analyzed. Second, the forecasting models based on chaos and fractal were used to forecast the data. Finally, using the combined forecasting model predicted the long term power load and compared the results of combined forecasting model with the results of the single forecasting model. The results show that the combined forecasting model based on chaos-fractal theory has better effect on the forecast of long term power load.
Journal: International Journal of Simulation: Systems, Science and Technology, IJSSST V17
Published: no date/time given