In Day-Ahead Electricity Load Forecasting

被引：0

作者：

Klempka, Ryszard ^{[1
]}

Swiatek, Boguslaw ^{[1
]}

机构：

[1] AGH Univ Sci & Technol, Krakow, Poland

来源：

2009 10TH INTERNATIONAL CONFERENCE ON ELECTRICAL POWER QUALITY AND UTILISATION (EPQU 2009) | 2009年

关键词：

electricity load forecasting; ARTIFICIAL NEURAL-NETWORKS;

D O I：

暂无

中图分类号：

TE [石油、天然气工业]; TK [能源与动力工程];

学科分类号：

0807 ; 0820 ;

摘要：

Growing competition on goods and utilities markets forces dramatic search for production costs reductions. Electricity costs are the principle cost components in steel industry. In many cases, it is even the main cost of the whole production. One of the main way of the electricity cost minimalization is hourly load forecasting. In this paper the algorithm of hourly electricity load forecasting for Polish large steel factory is presented.

引用

页码：313 / 317

页数：5

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