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Analysis of energy disaggregation techniques in non-intrusive appliance load monitoring.

机译：非侵入式设备负载监控中的能量分解技术分析。

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Carbon dioxide emission reduction goals have intensified interest in researching new methods to improve our efficient use of electricity. It has been proven that providing consumers with appliance usage patterns can have significant energy savings. Non-intrusive appliance load monitoring (NIALM) research aims to facilitate the large scale installation of mechanisms that provide such usage information. NIALM is the process of using the whole home electricity signal to determine the energy consumption information of appliances in the home without direct measurement. In this paper, we propose a fast and efficient non-parametric technique for disaggregating the whole home energy signal to determine individual appliance power consumption with high precision. We evaluate our proposed technique with the REDD dataset and show that it performs better than existing approaches in practice. We also propose modifications to known sparse coding techniques for energy disaggregation. Lastly, we evaluate the feasibility of employing Gaussian Process Regression for the purpose of NIALM.

机译：减少二氧化碳排放量的目标已引起人们对研究新方法以提高我们的电力有效利用的兴趣。已经证明，为消费者提供电器使用模式可以节省大量能源。非侵入式设备负载监视（NIALM）研究旨在促进提供这种使用信息的机制的大规模安装。 NIALM是使用整个家庭用电信号来确定家庭中电器的能耗信息而无需直接测量的过程。在本文中，我们提出了一种快速高效的非参数技术，用于分解整个家庭能源信号，从而以高精度确定各个设备的功耗。我们使用REDD数据集评估了我们提出的技术，并表明它在实践中比现有方法表现更好。我们还提出对已知的稀疏编码技术进行能量分解的修改。最后，我们评估了以NIALM为目的使用高斯过程回归的可行性。

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作者
Ashkar, Jihad S.;
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作者单位

University of Maryland, Baltimore County.;

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授予单位 University of Maryland, Baltimore County.;
学科 Computer science.;Statistics.;Electrical engineering.
学位 M.S.
年度 2016
页码 48 p.
总页数 48
原文格式 PDF
正文语种 eng
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专利

1. Retraction notice to'A review disaggregation method in non-intrusive appliance load monitoring' [Renew. Sustain. Energy Rev. 66 (2016) 163-173] [J] . Esa Nur Farahin, Abdullah Md Pauzi, Hassan Mohammad Yusri Renewable & Sustainable Energy Reviews . 2021,第Mara期

机译：撤回通知对非侵入式设备负载监控中的审查分组方法'[续订。维持。 Energy Rev.66（2016）163-173]
2. Simultaneous disaggregation of multiple appliances based on non-intrusive load monitoring [J] . Hua D., Huang F., Wang L., Electric power systems research . 2021,第Apra期

机译：基于非侵入式负荷监测的多个设备的同时分解
3. A review disaggregation method in Non-intrusive Appliance Load Monitoring [J] . Esa Nur Farahin, Abdullah Md Pauzi, Hassan Mohammad Yusri Renewable & Sustainable Energy Reviews . 2016,第DECa期

机译：非侵入式设备负载监控中的审查分类方法
4. Non-Intrusive Appliance Identification for Energy Disaggregation of Indian Households–An Use Case for Energy Informatics [C] . Anirudh Kumar, Partha Bhattacharjee International Symposium on Smart Electronic Systems . 2018

机译：印度家庭能源分配的非侵入式设备识别—能源信息学的使用案例
5. Decomposition Techniques for Non-intrusive Home Appliance Load Monitoring. [D] . Tabatabaei, Seyed Mostafa. 2014

机译：非侵入式家用电器负载监控的分解技术。
6. Smart Distribution Boards (Smart DB) Non-Intrusive Load Monitoring (NILM) for Load Device Appliance Signature Identification and Smart Sockets for Grid Demand Management [O] . See Gim Kerk, Naveed UL Hassan, Chau Yuen 2020

机译：智能配电板（Smart DB）用于负载设备设备签名识别的非侵入式负载监控（NILM）和用于电网需求管理的智能插座
7. Electricity consumption pattern disaggregation using non-intrusive appliance load monitoring method [O] . Asa @ Esa Nur Farahin, Abdullah Md. Pauzi, Hassan Mohammad Yusri, 2016

机译：使用非侵入式设备负荷监控方法的用电模式分类

Analysis of energy disaggregation techniques in non-intrusive appliance load monitoring.

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