Title :
An efficient method for peak load forecasting
Author :
Jin, Liu ; Ziyang, Liu ; Jingbo, Sun ; Xinying, Song
Author_Institution :
Dept. of Electr. Eng., Harbin Inst. of Technol.
fDate :
Nov. 29 2005-Dec. 2 2005
Abstract :
This paper describes the peak load characteristics of power systems. A new method for the peak load forecasting (PLF) is proposed by means of an integration technique, which combines fuzzy clustering with feed-forward neural network (FNN) of the Levenberg-Maruardt (LM) training algorithm. Compared with the traditional back propagation (BP) algorithm, the proposed method proves more efficient to the predicted accuracy during the peak load period by using actual data of a power grid in China
Keywords :
feedforward neural nets; integration; load forecasting; pattern clustering; power engineering computing; statistical analysis; China; Levenberg-Maruardt training algorithm; feed-forward neural network; fuzzy clustering; integration technique; peak load forecasting; power grid; traditional back propagation algorithm; Accuracy; Clustering algorithms; Computer science; Feedforward neural networks; Feedforward systems; Fuzzy neural networks; Load forecasting; Neural networks; Power systems; Predictive models; Peak load forecasting; fuzzy clustering; neural network; peak load pattern;
Conference_Titel :
Power Engineering Conference, 2005. IPEC 2005. The 7th International
Conference_Location :
Singapore
Print_ISBN :
981-05-5702-7
DOI :
10.1109/IPEC.2005.206877
