Detection and analysis of energy data by using quantum filter

Haohan WU; Gang JIANG

doi:10.11959/j.issn.1000−0801.2017070

您当前的位置：

首页 >

文章列表页 >

Detection and analysis of energy data by using quantum filter

Power informatization column | 更新时间：2024-06-05

- Detection and analysis of energy data by using quantum filter
- Telecommunications Science Vol. 33, Issue 5, Pages: 183-188(2017)
- 作者机构：
- 作者简介：
- 基金信息：
- DOI：10.11959/j.issn.1000−0801.2017070
  CLC： O455
- Published Online：2017-05，
  
  Published：15 May 2017
- 稿件说明：
移动端阅览
Haohan WU, Gang JIANG. Detection and analysis of energy data by using quantum filter[J]. Telecommunications science, 2017, 33(5): 183-188.
DOI：

Haohan WU, Gang JIANG. Detection and analysis of energy data by using quantum filter[J]. Telecommunications science, 2017, 33(5): 183-188. DOI： 10.11959/j.issn.1000−0801.2017070.

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 power grid as the core of smart meters

power big data has attracted the attention of users

power companies and the government.The introduction of adaptive filtering into the power grid information monitoring was explored.Due to the complexity of the power load curve

specific model cannot be described.A model-independent intelligent filter was constructed by using the recurrent quantum neural network.The quantum filter was tried to use in the power load forecasting and abnormal electrical testing.

关键词

Keywords

references

王亚东，高岩，金峰 . 智能电表数据分析及应用综述研究 [J ] . 信息技术， 2015 , 18 ( 2 ): 64 - 68 .

WANG Y D , GAO Y , JIN F . Review of smart watthour meter data analysis and applications [J ] . Information Technology , 2015 , 18 ( 2 ): 64 - 68 .

DAWES R L . Quantum neurodynamics:neural stochastic fil-tering with the schroedinger equation [C ] // 1992 International Joint Conference on Neural Networks,June 7-11,1992,Balti-more,USA . New Jersey : IEEE Press , 1992 : 133 - 140 .

BEHERA L , KAR I . Quantum stochastic filtering [C ] // 2005 IEEE International Conference on System,Man and Cybernetics,October 10-12,2005,Hawaii,USA . New Jersey : IEEE Press , 2005 .

GANDHI V , MCGINNITY T M . Quantum neural network based surface EMG signal filtering for control of robotic hand [C ] // 2013 International Joint Conference on Neural Net-works,August 4-9,2013,Dallas,USA . New Jersey : IEEE Press , 2013 : 1 - 7 .

GANDHI V , PRASAD F , COYLE D H , et al . Quantum neural network-based EEG filtering for a brain-computer interface [J ] . IEEE Transactions on Neural Networks and Learning System , 2014 , 25 ( 2 ): 278 ~ 288 .

朱仁祥，吴乐南 . 用于通信信号非线性时域滤波的量子随机滤波器(英文) [J ] . 东南大学学报(英文版) ， 2007 , 23 ( 1 ): 22 - 25 .

ZHU R X , WU L N . Quantum stochastic filters for nonlinear time-domain filtering of communication signals [J ] . Journal of Southeast University(English Edition) , 2007 , 23 ( 1 ): 22 - 25 .

赖联有，金福江，吴浩瀚 . 语音信号的量子随机滤波降噪方法 [J ] . 信息与控制， 2015 , 44 ( 5 ): 598 - 603 .

LAI L Y , JIN F J , WU H H . Speech de-noising method using quantum stochastic filter [J ] . Information and Control , 2015 , 44 ( 5 ): 598 - 603 .

BUSY R S . Linear and nonlinear filtering [J ] . Proceedings of the IEEE , 1970 , 58 ( 6 ): 854 - 864 .

COHEN-TANNOUDJI C , DIU B , LALOE F . 量子力学 [M ] .. 刘家谟，陈星奎，译. 北京：高等教育出版社， 2014 .

COHEN-TANNOUDJI C , DIU B , LALOE F . Mecanique quan-tique [M ] . Translated by LIU J M , CHEN X K . Beijing : Higher Education Press , 2014 .

吴浩瀚，金福江，赖联有，等 . 基于薛定谔方程的随机滤波算法(英文) [J ] . 自动化学报， 2014 , 40 ( 10 ): 2370 - 2376 .

WU H H , JIN F J , LAI L Y , et al . A stochastic filtering algo-rithm using SchrÄodinger equation [J ] . Acta Automatica Sini-ca , 2014 , 40 ( 10 ): 2370 - 2376 .

程梅花，李晓明，黄军高，等 . 电能量计量计费系统的窃电检测 [J ] . 电力自动化设备， 2002 , 22 ( 6 ): 64 - 67 .

CHENG M H , LI X M , HUANG J G . Filching detection in electric energy measuring and billing system [J ] . Electric Power Automation Equipment , 2002 , 22 ( 6 ): 64 - 67 .

PARZEN E . On estimation of a probability density function and mode [J ] . The Annals of Mathematical Statistics , 1962 , 33 ( 3 ): 1065 - 1076 .

Views

下载量

CSCD

Alert me when the article has been cited

提交

Tools

Publicity Resources

Edge computing smart grid resource scheduling algorithm based on reinforcement learning

Application of blockchain technology in the demand response management of power grid

Spectrum allocation algorithm of elastic optical networks in power distribution system

Power unified spatial information model for smart grid dual complex network

An energy conservation method for locating wireless sensor network nodes in smart grid

Related Author

Yichen ZHAO

Hu SONG

Jinghang YU

Haowen REN

Yaqi YANG

Biyou ZHAO

Shanhui ZHANG

Jinshuai WANG

Related Institution

Guangzhou Zenithsun Technology Co.,Ltd.

Dingxin Information Technology Co.,Ltd.

Maoming Power Supply Bureau of Guangdong Power Co.,Ltd.

North China Electric Power University

State Key Laboratory of Information Engineering in Surveying,Mapping and Remote Sensing,Wuhan University

⁰