Short term forecasting of energy consumption with application of artificial neural network

被引：0

作者：

Piotrowski, Pawel ^{[1
]}

机构：

[1] Politech Warszwska, Inst Elektroenerget, PL-00662 Warsaw, Poland

来源：

PRZEGLAD ELEKTROTECHNICZNY | 2007年 / 83卷 / 7-8期

关键词：

short term forecasting; artificial neural networks; electric energy consumption; electrical plant;

D O I：

暂无

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：

Short term forecasting of energy consumption for 48 hours in advance is very important information for electrical plants. The purpose of this paper is to present method of improvement quality forecasting by proper selection and processing of data for artificial neural network. Particular attention was given to selective choice of historical data and temperature influence.

引用

页码：40 / 43

页数：4