多因素支持向量机模型在江苏省中长期电力负荷预测中的应用

为提高电力负荷预测的准确性,建立了多因素支持向量机负荷预测模型,运用影响因素和历史负荷向量进行智能预测,明显提高了预测值误差精度,实证结果表明,利用该模型对电力负荷进行预测,可得到有效可靠的结果.

Application of Multi-factor SVM Method in Power Load's Medium and Long Term Forecasting for Jiangsu Province

Due to the low sample and multi-factor impact for medium-long term power load forecasting,the model of multi-factor SVM is established,the multivariate variables and history load variables are used to intelligent prediction,then the samples of Jiangsu province is used for training,the model is used to forecast the power load for recent years,the results of the forecasting is high accuracy,the prediction accuracy is obviously improved,empirical study shows that the method can make the satisfactory results.