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文章摘要
基于融合决策的负荷事件识别方法
Load Event Identification Method for Convergent Decision Making
Received:April 11, 2023  Revised:May 05, 2023
DOI:10.19753/j.issn1001-1390.2023.08.007
中文关键词: 非侵入式负荷监测  负荷事件识别  融合决策
英文关键词: non-intrusive  load monitoring, load  event recognition, integration  decision
基金项目:基金项目:内蒙古电力(集团)有限责任公司科技项目(LX34210245)
Author NameAffiliationE-mail
Xu Su* Baotou Power Supply Branch of Inner Mongolia Electric Power Group Co.,Ltd 53941048@qq.com 
Li Zhiling Baotou Power Supply Branch of Inner Mongolia Electric Power Group Co.,Ltd 40792682@qq.com 
Zhao Ke Baotou Power Supply Branch of Inner Mongolia Electric Power Group Co.,Ltd zhaoke452@souhu.com 
Yang Ziyuan Baotou Power Supply Branch of Inner Mongolia Electric Power Group Co.,Ltd yzzzy2003@163.com 
Zheng Yan Baotou Power Supply Branch of Inner Mongolia Electric Power Group Co.,Ltd 532426550@qq.com 
Song Zhiwen Baotou Power Supply Branch of Inner Mongolia Electric Power Group Co.,Ltd 11422494@qq.com 
Wang Huihui Baotou Power Supply Branch of Inner Mongolia Electric Power Group Co.,Ltd 2407763303@qq.com 
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中文摘要:
      负荷事件识别是基于事件的非侵入式负荷监测方法中的关键步骤之一。本文提出了一种融合决策的负荷事件识别方法,通过将三种不同原理的负荷事件识别算法的识别结果进行投票,得出最终的识别结果。相较于单独的识别算法,该方法可以有效地提高负荷事件识别的准确率。此外,该方法可以根据三种算法的不同结果判断出异常的负荷事件。
英文摘要:
      Load event identification is one of the key steps in a non-intrusive event-based load monitoring approach. In this paper, we propose a load event recognition method with fused decision making, and the final recognition results are obtained by voting the recognition results of three load event recognition algorithms with different principles. Compared with separate recognition algorithms, the method can effectively improve the accuracy of load event recognition. In addition, the method can determine abnormal load events based on the different results of the three algorithms.
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