摘要
利用相似性原理,从历史负荷数据中选择与预测日负荷相似的数据,采用混合核函数支持向量机的方法建立电力负荷预测模型,实验结果表明基于该方法的负荷预测系统具有较高的预测精度和较强的适应性。
The use of the principle of similarity, chooses the data of similar days that similar to prediction day from the historical day, the method of support vector based on hybrid kernel function is used to establish the power load forecasting model, the results show that the load forecasting system based on this method have high prediction accuracy and good applicability.
出处
《现代计算机》
2013年第7期22-25,共4页
Modern Computer
关键词
相似日
负荷预测
预测精度
混合核函数
Similar Day
Load Forecasting
Prediction Accuracy
Hybrid Kernel Function
