Load forecasting by fuzzy neural network in Box-Jenkins models

被引：0

作者：

Tang, WK ^{[1
]}

Wong, MH ^{[1
]}

Wong, YK ^{[1
]}

Chung, TS ^{[1
]}

机构：

[1] Hong Kong Polytech Univ, Dept Elect Engn, Hong Kong, Hong Kong

来源：

1998 IEEE INTERNATIONAL CONFERENCE ON SYSTEMS, MAN, AND CYBERNETICS, VOLS 1-5 | 1998年

关键词：

D O I：

暂无

中图分类号：

TP3 [计算技术、计算机技术];

学科分类号：

0812 ;

摘要：

In this paper, the use of FNN to identify appropriate Box-Jenkins models for the electricity load forecasting in Hong Kong is presented. FNN is found to be suitable to identify the Box-Jenkin model. By such model, we can forecast the load accurately.

引用

页码：1738 / 1743

页数：6

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