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文章摘要
基于贝叶斯迭代的非侵入式负荷事件检测方法
An approach for non-intrusive load event detection based on Bayesian iteration
Received:October 07, 2019  Revised:October 07, 2019
DOI：10.19753/j.issn1001-1390.2021.04.001
中文关键词: 非侵入式负荷监测  事件检测  贝叶斯迭代  家庭负荷  评价指标
英文关键词: 
基金项目:
Author NameAffiliationE-mail
Chen Zhong Electrical Engineering College of Southeast University zhongchen@seu.edu.cn 
Fang Guoquan* Electrical Engineering College of Southeast University 220172691@seu.edu.cn 
Zhao Jiaqing Suzhou Power Supply Company, State Grid Jiangsu Electric Power Co. ,.Ltd. jqzhao1963@163.com 
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中文摘要:
      无监督型的非侵入式负荷监测技术是负荷监测领域的发展趋势，而负荷事件检测是其中的重要环节。目前的负荷事件检测方法存在超参数复杂不易调整的问题，且对不同类型的负荷事件自适应能力差。为此，文中提出一种基于贝叶斯迭代的负荷事件检测方法，该方法首先构建事件检测模型，其次基于贝叶斯迭代对模型进行求解，最后结合负荷监测的应用实际优化求解速度。采集典型家用负荷的实际运行数据对所提方法进行测试，测试结果表明了文中方法对于不同类型的负荷事件有较强的自适应能力，相比于GLR方法与CUSUM方法具有更简单更易于调整的超参数，且能获得更高的检测准确率。因此，为非侵入式负荷事件检测提供了新思路，可以更方便地应用于工程实践。
英文摘要:
      
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