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Hidden Markov model based non-intrusive load monitoring using active and reactive power consumption.

机译：基于隐马尔可夫模型的非侵入式负载监控，使用有功和无功功耗。

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作者
Nandy, Paulomi.;
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作者单位

Missouri University of Science and Technology.;

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授予单位 Missouri University of Science and Technology.;
学科 Electrical engineering.
学位 M.S.
年度 2016
页码 54 p.
总页数 54
原文格式 PDF
正文语种 eng
中图分类
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专利

1. Non-intrusive load monitoring by using active and reactive power in additive Factorial Hidden Markov Models [J] . Bonfigli Roberto, Principi Emanuele, Fagiani Marco, Applied Energy . 2017,第deca15期

机译：在加性因子隐马尔可夫模型中使用有功和无功功率进行非侵入式负载监测
2. A Data-Based Analysis of Super-State Hidden Markov Models in Non-Intrusive Load Monitoring [J] . Arooj Arif Journal of Telecommunications System & Management . 2020,第4期

机译：非侵入式负荷监测中超级隐马尔可夫模型的基于数据分析
3. Non-intrusive load monitoring using factorial hidden markov model based on adaptive density peak clustering [J] . Wu Zhao, Wang Chao, Peng Wenxiong, Energy and Buildings . 2021,第Auga期

机译：基于自适应密度峰聚类的阶乘隐马尔可夫模型的非侵入式负载监控
4. Non-intrusive Load Monitoring Using Factorial Hidden Markov Model Based on Gaussian Mixture Model [C] . Lu ZHANG, Zhaoxia JING IEEE Power Energy Society General Meeting . 2020

机译：基于高斯混合模型的阶乘隐马尔可夫模型的非侵入式负荷监测
5. Non-Intrusive Load Monitoring: Disaggregation of Energy by Unsupervised Power Consumption Clustering. [D] . Anderson, Kyle D. 2014

机译：非侵入式负载监控：通过无监督功耗聚类进行能量分解。
6. A Hybrid Generalized Hidden Markov Model-Based Condition Monitoring Approach for Rolling Bearings [O] . Jie Liu, Youmin Hu, Bo Wu, 2017

机译：基于混合隐马尔可夫模型的滚动轴承状态监测方法
7. Non-intrusive load monitoring based on low frequency active power measurements [O] . Dinesh, Chinthaka, Godaliyadda, Roshan Indika, Ekanayake, Mervyn Parakrama B., 2016

机译：基于低频有功功率测量的非侵入式负载监控

Hidden Markov model based non-intrusive load monitoring using active and reactive power consumption.

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