Title :
Electric Power Load Forecasting Based on Fuzzy Optimal Theory
Author :
Wang Biao ; Feng Gang ; Huang Jing ; Xiao Xian-Yong
Author_Institution :
Sichuan Electr. Power Res. Inst., Chengdu, China
Abstract :
The paper proposes a new forecasting method for mid-long term electric power load 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 accuracy can be improved obviously and the model is a new and effective method for mid-long term electric load forecasting.
Keywords :
error analysis; fuzzy set theory; load forecasting; error index; error information; fuzzy optimal theory; mid-long term electric power load forecasting method; Fitting; Forecasting; Indexes; Load forecasting; Load modeling; Predictive models; combined forecasting; fuzzy optimum theory; muti-error index system;
Conference_Titel :
Intelligent System Design and Engineering Application (ISDEA), 2012 Second International Conference on
Conference_Location :
Sanya, Hainan
Print_ISBN :
978-1-4577-2120-5
DOI :
10.1109/ISdea.2012.509
