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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Format: | Article |
Language: | zho |
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Beijing Xintong Media Co., Ltd
2017-05-01
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Series: | Dianxin kexue |
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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 |