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电力消费量周期性分析 被引量：1

Periodic Analysis of the Electricity Consumption
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摘要 在经验模式分解的基础上,根据多分量信号的一些特点,分析了多分量信号的数学基础.并从信号的瞬时频率和瞬时带宽出发,提出了基于带宽的停止准则,改进了筛算法.将该算法应用于电力数据分析,得到电力消费分解数据,并在此数据上得到关键性的结论,以指导电力分配. According to the empirical decomposition algorithm and characteristic of multi-component signal, the mathematical foundation of the multi-component signal is investigated. Based on the instantaneous frequency and instantaneous bandwidth, a new stop criterion is proposed to improve the sifting algorithm, which is founded on the bandwidth of signal. The algorithm is applied to obtain decomposition data of the electricity consumption. Based on the decomposition data, some crucial conclusions are obtained and they can instruct the electricity assignment.
作者 谢启伟 轩波 彭思龙 李建平
机构地区 中国科学技术大学管理学院 中国科学院自动化研究所 中国科学院科技政策与管理科学研究所
出处 《应用基础与工程科学学报》 EI CSCD 2008年第4期596-604,共9页 Journal of Basic Science and Engineering
基金 国家自然科学基金(70531040) 中国科学院自动化所青年科技创新基金(No.08J1061GZ1)资助
关键词 本质模式函数 经验模式分解 瞬时频率 带宽 intrinsic mode function empirical mode decomposition instantaneous frequency bandwidth
分类号 TP301.6 [自动化与计算机技术—计算机系统结构]
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参考文献15

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应用基础与工程科学学报
2008年 第4期

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