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支持向量机(简称SVM)作为新的负荷预测方法在解决小样本、非线性、过学习问题等方面有很好的优势,结合目前新疆地区负荷增长快、负荷变化非线性强的状况可以考虑将其运用至实际工作中以提高预测精度,本文采取新疆某地区实际电网数据以支持向量机预测法进行预测,通过预测结果分析证明其有效性和可行性,体现此方法的实际应用价值。
As a new load forecasting method, Support Vector Machine (SVM) has good advantages in solving small sample, nonlinear and over-learning problems. Combined with the current situation of fast load growth and strong non-linear load change in Xinjiang, the support vector machine It is applied to the actual work to improve the prediction accuracy. In this paper, the actual grid data in a certain area of Xinjiang is used to predict by the support vector machine forecasting method. The validity and feasibility of the forecasting method are proved by the forecasting results, which shows the practical value of this method.