文章基本信息

标题：An Artificial Neural Networks Forecasting for Malaysia’s Load
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作者：Norizan Mohamed ; Maizah Hura Ahmad ; Zuhaimy Ismail 等
期刊名称：Statistika
印刷版ISSN：1411-5891
出版年度：2008
卷号：8
期号：2
页码：111-118
DOI：10.29313/jstat.v8i2.985
出版社：Universitas Islam Bandung
摘要：In this paper, two artificial neural networks models, namely the multilayer feedforward neural network and the recurrent neural network are applied for Malaysia's load forecasting. A half hourly load data is divided equally into three distinct sets for training, validation and testing. Backpropagation is selected as the learning algorithm whereas the transfer function for both hidden layer and output layer is sigmoid the function. The forecasting performances were compared between these two models. The results show that, the sum squared error (SSE) of multilayer feedforward neural network were the lowest hence the multilayer feedforward neural network is a better model for a half hourly Malaysia's load.
关键词：load forecasting;artificial neural networks;multilayer feedforward feural network, recurrent neural network.