| 基于最小二乘支持向量机的电力市场出清电价预测方法 |
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| 引用本文： | 张明光,李艳.基于最小二乘支持向量机的电力市场出清电价预测方法[J].电子测量技术,2009(1):53-55. |
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| 作者姓名： | 张明光 李艳 |
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| 作者单位： | 兰州理工大学电气工程与信息工程学院,兰州,730050 |
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| 摘 要： | 针对神经网络存在结构较难确定，训练易陷入局部最小等问题，提出将最小二乘支持向量机和相似搜索用于预测出清电价。该方法对相似搜索得到的相似负荷日的数据用最小二乘支持向量机建立预测模型，采用美国New England ISO的真实数据做验证，结果表明该方法比BP神经网络有更高的预测精度，是一种有效的预测方法。
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| 关 键 词： | 最小二乘支持向量机 相似搜索 出清电价 电价预测 |
Application of support vector machine method in prediction of the market clearing price |
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| Zhang Mingguang,Li Yan.Application of support vector machine method in prediction of the market clearing price[J].Electronic Measurement Technology,2009(1):53-55. |
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| Authors: | Zhang Mingguang Li Yan |
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| Affiliation: | College of Electrical and Information Engineering;Lanzhou University of Technology;Lanzhou 730050 |
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| Abstract: | As traditional neural network suffers from the problems like the existence of many local minimum and the choice of the number of hidden units,and overfiting.Similarity search and least squares support vector machine(LS-SVM)is proposed to predict the market clearing price(MCP).The load-price data obtained by similarity search is used by least square support vector machine to establish the price forecast model.The historical data from New England ISO electricity market is used in the case study to forecast th... |
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| Keywords: | least squares support vector machine similarity search the market clearing price electricity price forecast |
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