摘要
通过探讨多种确定性及非确定性负荷预测方法,将当前少有应用的支持向量机算法引入电力系统负荷预测。介绍了统计学理论,引入了根据该理论提出的支持向量机算法。对支持向量机算法原理进行了介绍,分析了该算法的本质及应用价值。采用回归问题的支持向量回归机ε-SVR算法,给出了将该算法应用于中长期负荷预测的方法。通过算例,验证了该方法的有效性。
Some certain and uncertain load forecasting methods are discussed, and the support vector machine is applied in the power system load forecasting. The statistical learning theory is introduced and support vector machine algorithm is introduced. The principle of support vector machine is introduced, the essence of the algorithm and its application value are analyzed. The e-SVR algorithm of support vector regression for the regression problems is used in the long term load forecasting. Examples testify the effectiveness of the proposed method.
出处
《广西电力》
2012年第6期58-62,共5页
Guangxi Electric Power
关键词
电力负荷
支持向量机
中长期负荷预测
power load, support vector machine, medium and long term load forecasting
