Title :
Research on Mid-long Load Forecasting Based on SVM and Wavelet Neural Network
Author_Institution :
Dept. of Economic Manage., North China Electr. Power Univ., Baoding, China
Abstract :
This paper put forward a new method of the SVM and wavelet neural network model for mid-long term load forecasting. The neural call function is basis of nonlinear wavelets. We overcome the shortcoming of single train set of SVM. It can be seen from the example this method can improve effectively the forecast accuracy and speed. The forecast model was tested and the result showed that it was an effective way to forecast mid-long term electric load.
Keywords :
Artificial neural networks; Estimation error; Load forecasting; Machine vision; Man machine systems; Neural networks; Power generation economics; Predictive models; Risk management; Support vector machines; SVM; electric Load Forecasting; fuzzy rules;
Conference_Titel :
Machine Vision and Human-Machine Interface (MVHI), 2010 International Conference on
Conference_Location :
Kaifeng, China
Print_ISBN :
978-1-4244-6595-8
Electronic_ISBN :
978-1-4244-6596-5
DOI :
10.1109/MVHI.2010.154
