Short term load forecasting using artificial neural network

被引:5
|
作者
Banda, E. [1 ]
Folly, K. A. [1 ]
机构
[1] Univ Cape Town, Dept Elect Engn, ZA-7701 Rondebosch, South Africa
关键词
artificial intelligence; artificial neural networks; short-term load forecasting;
D O I
10.1109/PCT.2007.4538301
中图分类号
TE [石油、天然气工业]; TK [能源与动力工程];
学科分类号
0807 ; 0820 ;
摘要
This paper presents a method of short term load forecasting using artificial neural network (ANN). A three layered feed-forward neural network, trained by scaled conjugate back-propagation, is used. Two models of ANN were tested and compared. The models are applied to real data from the Cape Town Control Centre.
引用
收藏
页码:108 / 112
页数:5
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