Title :
Application of variable structure artificial neural network for mid-long term load forecasting
Author :
Yu, Haiyong ; Zhang, Qian
Author_Institution :
Dept. of Economic Manage., North China Electr. Power Univ., Baoding, China
Abstract :
This paper put forward a new method of the variable structure artificial neural network model for mid-long term load forecasting. We overcome the shortcoming of single train set of ANN. 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 :
load forecasting; neural nets; power engineering computing; ANN; electric load; mid-long term load forecasting; variable structure artificial neural network; Artificial neural networks; Economic forecasting; Energy management; Load forecasting; Management training; Neurons; Power generation economics; Predictive models; Support vector machines; Testing; artificial neural network; electric Load forecasting;
Conference_Titel :
Information Management and Engineering (ICIME), 2010 The 2nd IEEE International Conference on
Conference_Location :
Chengdu
Print_ISBN :
978-1-4244-5263-7
Electronic_ISBN :
978-1-4244-5265-1
DOI :
10.1109/ICIME.2010.5477756
