Neural expert system for loading of overhead lines

被引：0

作者：

Negnevitsky, M ^{[1
]}

Le, TL ^{[1
]}

机构：

[1] Univ Tasmania, Dept Elect Engn & Comp Sci, Hobart, Tas 7001, Australia

来源：

PROGRESS IN CONNECTIONIST-BASED INFORMATION SYSTEMS, VOLS 1 AND 2 | 1998年

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：

This paper describes an intelligent neural expert system for loading overhead power transmission lines. The system is used to evaluate the:thermal rating and temperature rise of power transmission lines. An artificial neural network (ANN) was trained for the prediction of hourly or instantaneous values of the irradiance dependent on astronomic and meteor-climatic conditions. The developed intelligent system can be used to assist operators in loading power transmission lines in different operating and weather conditions.

引用

页码：797 / 800

页数：4

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