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投稿时间：2013-09-18
投稿时间：2013-09-18
中文摘要: 以风电场功率数据为基础,介绍了支持向量机理论的新应用,讨论了支持向量机算法用于风电场功率数据的具体过程,建立了基于支持向量机的风电场功率数据处理模型.该模型能对风电场功率数据进行有效的分析和处理,能为风电并网的规划、调度、运行和控制提供及时、有效的信息.
Abstract:Based on data from wind farms,new applications of support vector machine theory is introduced,support vector machine theory wind data for the specific process is discussed.A model wind farm data processing based on support vector machine is established,which can be carried on the wind farm data simple.The model will be effective in the analysis and processing,and network operation of the wind power planning,scheduling,operation and control to provide timely and effective information.
keywords: short-term load data mining support vector machine
文章编号：20130605 中图分类号： 文献标志码：
基金项目:
| 作者 | 单位 | |
| 杜海舟 | 上海电力学院计算机科学与技术学院，上海 200090 | duhaizhou@shiep.edu.cn |
| 杨晨 | 上海电力学院计算机科学与技术学院，上海 200090 | |
| 毛俊隽 | 丹江口水力发电厂机修部, 湖北丹江口 442700 |
引用文本：
杜海舟,杨晨,毛俊隽.基于支持向量机的风电短期功率的研究及应用[J].上海电力大学学报,2013,29(6):532-535.
DU Haizhou,YANG Chen,MAO Junjun.Research and Application of Wind Short Term Power Based on Support Vector Machine Algorithm[J].Journal of Shanghai University of Electric Power,2013,29(6):532-535.
杜海舟,杨晨,毛俊隽.基于支持向量机的风电短期功率的研究及应用[J].上海电力大学学报,2013,29(6):532-535.
DU Haizhou,YANG Chen,MAO Junjun.Research and Application of Wind Short Term Power Based on Support Vector Machine Algorithm[J].Journal of Shanghai University of Electric Power,2013,29(6):532-535.