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
来源：
2007 IEEE LAUSANNE POWERTECH, VOLS 1-5 | 2007年
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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