DocumentCode
2546877
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
fYear
2010
fDate
16-18 April 2010
Firstpage
450
Lastpage
453
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;
fLanguage
English
Publisher
ieee
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
Type
conf
DOI
10.1109/ICIME.2010.5477756
Filename
5477756
Link To Document