DocumentCode
2938888
Title
Mid-Long Term Load Forecasting Based on Fuzzy Optimal Theory
Author
Huang Jing ; Ma Jing ; Xiao Xian-Yong ; Xu Mei
Author_Institution
Coll. of Electr. Eng. & Inf. Technol., Sichuan Univ., Chengdu, China
fYear
2011
fDate
25-28 March 2011
Firstpage
1
Lastpage
4
Abstract
The paper proposed a new method for mid-long term load combined forecasting based on the fuzzy optimal theory. The proposed model considering various kinds of error information overcomes the shortcoming of single model as well as the traditional combined model whose objective is to improve just one error index. Through the case study, we prove that the prediction accuracy can be improved obviously and the model is a new and effective method for mid-long term electric load forecasting.
Keywords
entropy; fuzzy set theory; load forecasting; entropy; fuzzy optimal theory; midlong term load forecasting; mutierror index system; Entropy; Forecasting; Indexes; Load forecasting; Load modeling; Predictive models;
fLanguage
English
Publisher
ieee
Conference_Titel
Power and Energy Engineering Conference (APPEEC), 2011 Asia-Pacific
Conference_Location
Wuhan
ISSN
2157-4839
Print_ISBN
978-1-4244-6253-7
Type
conf
DOI
10.1109/APPEEC.2011.5748986
Filename
5748986
Link To Document