Detection and analysis of energy data by using quantum filter

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 cur...

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Main Authors: Haohan WU, Gang JIANG
Format: Article
Language:zho
Published: Beijing Xintong Media Co., Ltd 2017-05-01
Series:Dianxin kexue
Subjects:
Online Access:http://www.telecomsci.com/zh/article/doi/10.11959/j.issn.1000−0801.2017070/
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author Haohan WU
Gang JIANG
author_facet Haohan WU
Gang JIANG
author_sort Haohan WU
collection DOAJ
description 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.
format Article
id doaj-art-4295e3e6a9de46fea5abe762d0bb4d9a
institution Kabale University
issn 1000-0801
language zho
publishDate 2017-05-01
publisher Beijing Xintong Media Co., Ltd
record_format Article
series Dianxin kexue
spelling doaj-art-4295e3e6a9de46fea5abe762d0bb4d9a2025-01-15T03:13:00ZzhoBeijing Xintong Media Co., LtdDianxin kexue1000-08012017-05-013318318859602633Detection and analysis of energy data by using quantum filterHaohan WUGang JIANGWith 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.http://www.telecomsci.com/zh/article/doi/10.11959/j.issn.1000−0801.2017070/smart gridpower information detectionmodern filterquantum computation
spellingShingle Haohan WU
Gang JIANG
Detection and analysis of energy data by using quantum filter
Dianxin kexue
smart grid
power information detection
modern filter
quantum computation
title Detection and analysis of energy data by using quantum filter
title_full Detection and analysis of energy data by using quantum filter
title_fullStr Detection and analysis of energy data by using quantum filter
title_full_unstemmed Detection and analysis of energy data by using quantum filter
title_short Detection and analysis of energy data by using quantum filter
title_sort detection and analysis of energy data by using quantum filter
topic smart grid
power information detection
modern filter
quantum computation
url http://www.telecomsci.com/zh/article/doi/10.11959/j.issn.1000−0801.2017070/
work_keys_str_mv AT haohanwu detectionandanalysisofenergydatabyusingquantumfilter
AT gangjiang detectionandanalysisofenergydatabyusingquantumfilter