Neuro-short-term load forecast of the power system in Kuwait

被引：6

作者：

AlFuhaid, AS ^{[1
]}

ElSayed, MA ^{[1
]}

Mahmoud, MS ^{[1
]}

机构：

[1] KUWAIT UNIV,DEPT ELECT & COMP ENGN,SAFAT 13060,KUWAIT

来源：

APPLIED MATHEMATICAL MODELLING | 1997年 / 21卷 / 04期

关键词：

artificial neural networks; load forecast; power systems;

D O I：

10.1016/S0307-904X(96)00165-5

中图分类号：

T [工业技术];

学科分类号：

08 ;

摘要：

This paper is concerned with short-term load forecast of the electrical power system in Kuwait. it applies artificial neural networks (ANN's) to predict the half hour total system load. The input pattern incorporates the temperature and humidity effects. Simulation results have indicated that the developed forecasting approach is flexible and efficient. (C) 1997 by Elsevier Science Inc.

引用

页码：215 / 219

页数：5

共 11 条

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