Load Forecasting of Coal-Fired Unit Based on SVM Model

摘要：

　　In order to obtain accurate load forecasting of coal-fired unit,a new algorithm based on Support Vector Machine (SVM) method is presented.This algorithm establishes a model to reflect the complicated relation between the load of coal-fired unit and the furnace flame Images.The trained SVM model is applied to a 660MW coal-fired unit to forecast the load with two groups of test samples.The results are compared with that of BP neural network model.It is shown the SVM model is more accurate than the BP NN model.The SVM method can satisfy the demand of engineering applications with the advantages of high forecasting accuracy and more generalized performance.

关键词： load forecasting support vector machine flame images

作者: Weiliang Liu Yongguang Ma Liangyu Ma Yongjun Lin Shuangsai Liu

作者单位: Department of Automation,North China Electric Power University,Baoding,China

会议类型: 国际会议

会议名称: 2012 International Conference on Intelligent System and Applied Material(2012智能系统与应用材料国际会议)(GSAM2012)

会议地点: 太原

会议语种:英文

页码: 1015-1019

在线出版日期: 2012-01-13（万方平台首次上网日期，不代表论文的发表时间）