Demand of Electric Power and Its Forecasting in Iron and Steel Complex

被引:0
|
作者
ZHOU Dian-min~1
2. Baosteel Branch Energy Department
机构
基金
中国国家自然科学基金;
关键词
load forecasting; steel production; model combination; scheme filtration;
D O I
10.13228/j.boyuan.issn1006-706x.2006.05.006
中图分类号
TF758 [炼钢厂];
学科分类号
080602 ;
摘要
A systematic study on the electrical load forecasting for large-scale iron and steel companies was made. After analyzing the electrical load′s characteristics, an algorithm framework for the load forecasting in iron and steel complex was formulated based on model combination and scheme filtration. The algorithm features data quality self-adaptation, convenient forecasting model extension, easy practical application, etc., and has been successfully applied in Baoshan Iron and Steel Co Ltd, Shanghai, China, resulting in great economic benefit.
引用
收藏
页码:21 / 24
页数:4
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