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 :
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