| 支持向量机在短期负荷预测中的应用概况 |
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| 引用本文： | 王奔,冷北雪,张喜海,单翀皞,从振.支持向量机在短期负荷预测中的应用概况[J].电力系统及其自动化学报,2011,23(4):115-121. |
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| 作者姓名： | 王奔 冷北雪 张喜海 单翀皞 从振 |
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| 作者单位： | 西南交通大学电气工程学院,成都,610031 |
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| 摘 要： | 全面总结了支持向量机(SVM)在短期负荷预测中的应用概况,并从SVM的原理出发,对比人工神经网络方法,从本质上阐述了SVM方法在短期负荷预测中应用的优越性.同时针对SVM在应用中存在的问题,包括数据预处理、核函数构造及选取和参数优化的方法,做出分析,并归纳了现行的解决方法.从SVM算法用于负荷预测的机理及提高预测精度和...
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| 关 键 词： | 支持向量机 人工神经网络 短期负荷预测 数据预处理 核函数 参数优化 混合预测方法 |
Application Profiles of Support Vector Machine in Short-term Load Forecasting |
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| WANG Ben,LENG Bei-xue,ZHANG Xi-hai,SHAN Chong-hao,CONG Zhen.Application Profiles of Support Vector Machine in Short-term Load Forecasting[J].Proceedings of the CSU-EPSA,2011,23(4):115-121. |
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| Authors: | WANG Ben LENG Bei-xue ZHANG Xi-hai SHAN Chong-hao CONG Zhen |
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| Affiliation: | WANG Ben,LENG Bei-xue,ZHANG Xi-hai,SHAN Chong-hao,CONG Zhen(College of Electrical Engineering,South West Jiaotong University,Chengdu 610031,China) |
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| Abstract: | The application profiles of support vector machine(SVM) in the field of short-term load forecasting(STLF) is summarized in the paper.Based on the principle of SVM and compared with artificial neural network,the superiority of the SVM method in the application of STLF is elaborated.Some problems about the application of SVM,including data pre-processing,the consturcting and current solutions are provided respectively.For a series of SVM-based improvements and some mixed forecasting methods consisting of SVM ... |
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| Keywords: | support vector machines(SVM) artificial neural networks(ANN) short-term load forecasting data pre-processing kernel function parameter optimization mixed-forecasting methods |
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