Title :
The short-term load forecasting of power system based on genetic-fuzzy algorithm
Author :
Ding, Qiao-lin ; Pan, Xue-hua ; Liu, Jian-xin
Author_Institution :
Sch. of Electr. & Electron. Eng., North China Electr. Power Univ., Baoding, China
Abstract :
The fuzzy system with network structure as the forecasting model, and the improved genetic algorithm is taken to confirm system parameters. A case study of load forecasting in a certain power network shows that the model which is based on this way has a better fitting precision.
Keywords :
fuzzy set theory; genetic algorithms; load forecasting; power system analysis computing; genetic-fuzzy algorithm; power network; power system; short-term load forecasting model; Fuzzy logic; Fuzzy set theory; Fuzzy systems; Genetic algorithms; Humans; Load forecasting; Power system modeling; Power system planning; Power systems; Predictive models; Fuzzy system; Genetic algorithm; Load forecasting; Network structure;
Conference_Titel :
Electricity Distribution, 2008. CICED 2008. China International Conference on
Conference_Location :
Guangzhou
Print_ISBN :
978-1-4244-3373-5
Electronic_ISBN :
978-1-4244-3372-8
DOI :
10.1109/CICED.2008.5211682
