Integrated ANN - Approach to forecast load

被引：20

作者：

Swarup, KS ^{[1
]}

Satish, B ^{[1
]}

机构：

[1] Indian Inst Technol, Madras 600036, Chennai, India

来源：

IEEE COMPUTER APPLICATIONS IN POWER | 2002年 / 15卷 / 02期

关键词：

D O I：

10.1109/67.993760

中图分类号：

TP39 [计算机的应用];

学科分类号：

081203 [计算机应用技术]; 0835 [软件工程];

摘要：

A short term load-forecasting (STLF) program that uses an integrated artificial neural network (ANN) approach in forecasting load is discussed. This method was used to overcome the drawbacks of traditional methods such as heavy computational time, large amount of memory space, and explicit relationships between different variables. It was found that the forecasted load obtained from the integrated architecture is better than that from the single ANN.

引用

页码：46 / 51

页数：6

共 6 条

[1]

[Anonymous], 1976, TIME SERIES ANAL

[2]

SHORT-TERM LOAD FORECASTING [J].