FUTURA:: Hybrid system for electric load forecasting by using case-based reasoning and expert system

被引：0
|
作者：
Vilcahuamán, R
Meléndez, J
de la Rosa, JL
机构：
[1] Univ Girona, Inst Informat & Aplicac, Girona, Spain
[2] Univ Nacl Ctr Peru, Fac Ingn Sistemas, Huancayo, Peru
来源：
TOPICS IN ARTIFICIAL INTELLIGENCE, PROCEEDINGS | 2002年 / 2504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：
The results of combining a numeric extrapolation of data with the methodology of case-based reasoning and expert systems in order to improve the electric load forecasting are presented in this contribution. Registers of power consumption are stored as cases that are retrieved and adapted by an expert system to improve a numeric forecasting given by numeric algorithms. FUTURA software has been developed as a result of this work. It combines the proposed techniques in a modular way while it provides a graphic user interface and access capabilities to existing data bases.
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收藏
页码：125 / 138
页数：14
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