Title of article :
Demand of Electric Power and Its Forecasting in Iron and Steel Complex Original Research Article
Author/Authors :
Dian-min ZHOU، نويسنده , , Feng GAO، نويسنده , , Wei QIAO، نويسنده ,
Issue Information :
روزنامه با شماره پیاپی سال 2006
Abstract :
A systematic study on the electrical load forecasting for large-scale iron and steel companies was made. After analyzing the electrical loadʹs 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.
Keywords :
scheme filtration , load forecasting , Steel production , model combination
Journal title :
Journal of Iron and Steel Research
Journal title :
Journal of Iron and Steel Research