基于量子滤波器的电能数据检测与分析

发布时间：2018-03-01 01:10

本文关键词： 智能电网用电信息检测现代滤波量子计算　出处：《电信科学》2017年05期 　论文类型：期刊论文

【摘要】：随着以智能电表为核心的智能电网快速发展,电力大数据吸引了用户、用电企业、政府的注意力。用电数据容易受到各种未知的随机干扰。探索了将自适应滤波技术引入电网信息监测。而由于用电负荷曲线复杂、不能给出一个具体的模型,利用量子递归神经网络构造了一个与模型无关的智能滤波器。最后提出了利用量子滤波器进行电力负荷预测以及利用测量误差的概率密度函数进行用户异常用电检测的设想。
[Abstract]:With the rapid development of smart grid with smart meter as the core, power big data has attracted users and power enterprises. Government attention. Electrical data are vulnerable to various unknown random disturbances. This paper explores the introduction of adaptive filtering technology into power network information monitoring. However, because of the complexity of power load curves, it is impossible to give a specific model. A model-independent intelligent filter is constructed by using quantum recurrent neural network. Finally, the assumption of using quantum filter to forecast power load and using probability density function of measurement error to detect abnormal power consumption is proposed.
【作者单位】：国网广安供电公司信息通信分公司;
【分类号】：TM933.4;TN713

【相似文献】