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. 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.