Daily electrical load forecasting in power supply systems on the basis of fuzzy neural networks

被引：0

作者：

Birukov, EV ^{[1
]}

Manusov, VZ ^{[1
]}

机构：

[1] Novosibirsk State Tech Univ, Novosibirsk 630090, Russia

来源：

KORUS 2004, Vol 1, Proceedings | 2004年

关键词：

electrical load forecasting; neural network; fuzzy set; fuzzy logic; fuzzy neural network;

D O I：

暂无

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

In this article the approach of daily electrical load forecasting, based on fuzzy neural networks is proposed. This approach models behavior of load on those areas where it is primarily a function of temperature. Forecasting was carried out separately for the working days and for the weekend days. As the initial information daily archival records of developed capacity, temperatures of air and an overflow of the electric power have been used. And these data were set as the minimal and maximal value. The created programs have been tested and determined mistakes of forecasting which have made no more than 2.5% for the working days and 2% for the weekend days.

引用

页码：197 / 201

页数：5

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