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文章摘要
一种基于融合决策TOPSIS模型的NILM算法评价
Non-intrusive algorithm evaluation based on fusion decision and TOPSIS model
Received:August 13, 2019  Revised:August 13, 2019
DOI：10.19753/j.issn1001-1390.2022.02.012
中文关键词: 非侵入式  融合权重  TOPSIS  算法评价
英文关键词: 
基金项目:
Author NameAffiliationE-mail
Wang Yaqian Wuhan University 13006161303@163.com 
Zhou Dongguo Wuhan University 2778502017@qq.com 
Hu Wenshan* Wuhan University 13006161303@163.com 
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中文摘要:
      由于应用场景不同、负荷设备多样等问题，准确率等单一因素在评价算法时易造成评价结果畸形且不易察觉纠正，从而无法综合有效地评价非侵入式算法性能。为此，文章提出一种基于融合决策的TOPSIS模型，以多种评价指标构建评价体系，采用基于AHP和变异系数法的融合权重，兼顾专家经验、工程需求和数据客观规律，避免单一的主观赋值造成具有明显差异的指标数据被忽略，以及单一的客观赋值夸大数据误差波动，最后利用逼近于理想解的排序方法计算评价对象与正负理想解的接近程度，得到算法综合排序结果。实验结果表明文中所提评价模型能够有效评价算法性能，为非侵入式负荷辨识算法的综合评价提供一种新的解决方案。
英文摘要:
      
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