Non-intrusive Load Decomposition for Smart Buildings Based on Parallel Connectivity Networks and Attention Mechanism

IF 1.6 4区 工程技术 Q3 ENGINEERING, ELECTRICAL & ELECTRONIC Journal of Electrical Engineering & Technology Pub Date : 2024-07-20 DOI:10.1007/s42835-024-01939-z
Lingzhi Yi, Xiangxiang Xu, Yahui Wang, Jiangyong Liu, Yuhang Gao, Ximeng Liu
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Abstract

To obtain the operating status of equipment and loads in buildings without installation of intrusive monitoring devices, non-intrusive load decomposition and monitoring methods have become the research focus of many scholars and researchers. To improve the accuracy of non-intrusive load decomposition, a non-intrusive load decomposition based on parallel connection network and attention mechanism is proposed. This proposed method educes the depth of network by ‘parallel connection’ and reduces the risk of overfitting. In additional, the dilated residual convolutional neural network and the bidirectional long short-term memory network are connected in parallel to extract features respectively, which greatly improves the representation ability of features. The attention mechanism is introduced to eliminate redundant information, focus on important information, and improve the decomposition performance. Finally, the domestic self-assessment data set is used, and different evaluation indicators are used for evaluation and comparison with other commonly used models. The simulation results show that the decomposition accuracy of proposed method is significantly improved.

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基于并行连接网络和关注机制的智能楼宇非侵入式负载分解
为了在不安装侵入式监测设备的情况下获取建筑物内设备和负载的运行状态,非侵入式负载分解和监测方法成为许多学者和研究人员的研究重点。为了提高非侵入式负载分解的准确性,本文提出了一种基于并行连接网络和关注机制的非侵入式负载分解方法。该方法通过 "并行连接 "提高了网络深度,降低了过拟合风险。此外,通过并行连接扩张残差卷积神经网络和双向长短期记忆网络分别提取特征,大大提高了特征的表示能力。引入注意力机制,消除冗余信息,聚焦重要信息,提高分解性能。最后,利用国内自评数据集,采用不同的评价指标进行评价,并与其他常用模型进行比较。仿真结果表明,所提方法的分解精度明显提高。
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来源期刊
Journal of Electrical Engineering & Technology
Journal of Electrical Engineering & Technology ENGINEERING, ELECTRICAL & ELECTRONIC-
CiteScore
4.00
自引率
15.80%
发文量
321
审稿时长
3.8 months
期刊介绍: ournal of Electrical Engineering and Technology (JEET), which is the official publication of the Korean Institute of Electrical Engineers (KIEE) being published bimonthly, released the first issue in March 2006.The journal is open to submission from scholars and experts in the wide areas of electrical engineering technologies. The scope of the journal includes all issues in the field of Electrical Engineering and Technology. Included are techniques for electrical power engineering, electrical machinery and energy conversion systems, electrophysics and applications, information and controls.
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