Methods of improvement of energy consumption forecasting using an artificial neural network

被引：0
|
作者：
Piotrowski, Pawel [1 ]
机构：
[1] Politechnika Warszwska, Inst Elektroenergetyki, PL-00662 Warsaw, Poland
来源：
PRZEGLAD ELEKTROTECHNICZNY | 2007年 / 83卷 / 06期
关键词：
middle term forecasting; artificial neural networks; electric energy consumption; electrical plant;
D O I：
暂无
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
Electric energy consumption middle - term forecasting is important factor for electrical plants. The purpose of this paper is to present effective method of middle - term forecasting of electric energy consumption using an artificial neural network and showing important role of other factors than electric energy consumption in high quality predictions. The results will be compared with some statistical methods.
引用
收藏
页码：75 / 77
页数：3
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