SHORT-TERM LOAD FORECASTING USING AN ADAPTIVE NEURAL NETWORK

被引：61

作者：

DILLON, TS

SESTITO, S

LEUNG, S

机构：

[1] Department of Computer Science, La Trobe University, Bundoora

来源：

INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS | 1991年 / 13卷 / 04期

关键词：

LOAD FORECASTING; NEURAL NETWORK;

D O I：

10.1016/0142-0615(91)90021-M

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

This paper presents a method of short term load forecasting using a neural network. A three layered feedforward adaptive neural network, trained by Back-propagation, is used. This method is applied to real data from a power system and comparative results with other methods are given.

引用

页码：186 / 192

页数：7

共 7 条

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