Neural systems for short-term forecasting of electric power load

被引：0
|
作者：
Bak, Michal [1 ]
Bielecki, Andrzej [1 ]
机构：
[1] Jagiellonian Univ, Inst Comp Sci, Nawojki 11, PL-30072 Krakow, Poland
来源：
ADAPTIVE AND NATURAL COMPUTING ALGORITHMS, PT 2 | 2007年 / 4432卷
关键词：
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 a neural system for daily forecasting of electric power load in Poland is presented. Basing on the simplest neural architecture - a multi-layer perceptron - more and more complex system is built step by step. A committee rule-aided hierarchical system consisting of modular ANNs is obtained as a result. The forecasting mean absolute percentage error (MAPE) of the most effective system is about 1.1%.
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页码：133 / +
页数：3
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