Extended normalised radial basis function for short term load forecasting

被引：0
作者：
Wadge, E [1 ]
Kodogiannis, V [1 ]
机构：
[1] Univ Westminster, Sch Comp Sci, Mechatron Grp, London, England
来源：
PROCEEDINGS OF THE FOURTH IASTED INTERNATIONAL CONFERENCE ON MODELLING, SIMULATION, AND OPTIMIZATION | 2004年
关键词：
neural networks; load forecasting; expectation maximisation;
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
In this paper we analyse the problem of short term load forecasting and propose a novel neural network scheme based on the Extended Normalised Radial Basis Function network. The Bayesian Ying Yang Expectation Maximisation algorithm has been used with novel splitting operations to determine a network size and parameter set. The results are then compared with that of an MLP neural network.
引用
收藏
页码：154 / 159
页数：6
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