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支持向量机算法应用于短期电力负荷预测 被引量:2

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摘要 介绍了支持向量机(SVM)方法及其在电力系统负荷预测中的应用。SVM以统计学理论为理论基础,采用结构最小化(SRM)原则,具有收敛速度快、全局最优等优点。选取RBF函数作为核函数,实际算例表明,预测精度优于时间序列及BP神经网络等方法。
出处 《电气应用》 北大核心 2009年第14期82-85,共4页 Electrotechnical Application
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