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With the roll-out of smart meters the importance of effective non-intrusive load monitoring (NILM) techniques has risen rapidly. NILM estimates the power consumption of individual devices given their aggregate consumption. In this way, the…

其他计算机科学 · 计算机科学 2016-10-06 Christoph Klemenjak , Peter Goldsborough

This article presents a case study demonstrating a non-intrusive method for the well-being monitoring of elderly people. It is based on our real-time energy measurement system, which uses tiny beacons attached to electricity meters. Four…

计算机与社会 · 计算机科学 2024-07-02 Mateusz Brzozowski , Artur Janicki

The data collected by smart meters contain a lot of useful information. One potential use of the data is to track the energy consumptions and operating statuses of major home appliances.The results will enable homeowners to make sound…

信号处理 · 电气工程与系统科学 2019-07-09 M. Dong , P. C. M. Meira , W. Xu , C. Y. Chung

Non-intrusive load monitoring or energy disaggregation involves estimating the power consumption of individual appliances from measurements of the total power consumption of a home. Deep neural networks have been shown to be effective for…

机器学习 · 计算机科学 2018-12-11 Cillian Brewitt , Nigel Goddard

The rapid urbanization of developing countries coupled with explosion in construction of high rising buildings and the high power usage in them calls for conservation and efficient energy program. Such a program require monitoring of…

其他计算机科学 · 计算机科学 2017-03-13 Anthony Faustine , Nerey Henry Mvungi , Shubi Kaijage , Kisangiri Michael

Non-Intrusive Load Monitoring (NILM) is an important application to monitor household appliance activities and provide related information to house owner or/and utility company via a single sensor installed at the electrical entry of the…

信号处理 · 电气工程与系统科学 2018-09-25 Mengqi Lu , Jinfeng Gao , Zuyi Li

Non-Intrusive Load Monitoring (NILM) is pivotal in today's energy landscape, offering vital solutions for energy conservation and efficient management. Its growing importance in enhancing energy savings and understanding consumer behavior…

信号处理 · 电气工程与系统科学 2024-03-12 Yinyan Liu , Yi Wang , Jin Ma

In order to increase the electric energy efficiency of production machines, it is necessary to determine the energy demand of the constituent electric loads. Therefore, a new measurement system based on nonintrusive load monitoring is…

其他计算机科学 · 计算机科学 2019-12-04 Christian Gebbe

The state-of-the-art smart city has been calling for an economic but efficient energy management over large-scale network, especially for the electric power system. It is a critical issue to monitor, analyze and control electric loads of…

信号处理 · 电气工程与系统科学 2023-08-24 Yiwen Xu , Dengfeng Liu , Liangtao Huang , Zhiquan Lin , Tiesong Zhao , Sam Kwong

Non-intrusive load monitoring addresses the challenging task of decomposing the aggregate signal of a household's electricity consumption into appliance-level data without installing dedicated meters. By detecting load malfunction and…

信号处理 · 电气工程与系统科学 2019-11-19 Kunjin Chen , Yu Zhang , Qin Wang , Jun Hu , Hang Fan , Jinliang He

Demand-side management now encompasses more residential loads. To efficiently apply demand response strategies, it's essential to periodically observe the contribution of various domestic appliances to total energy consumption.…

信号处理 · 电气工程与系统科学 2023-06-09 Mohammad Irani Azad , Roozbeh Rajabi , Abouzar Estebsari

The smart grid initiative has encouraged utility companies worldwide to rollout new and smarter versions of energy meters. Before an extensive rollout, which is both labor-intensive and incurs high capital costs, consumers need to be…

其他计算机科学 · 计算机科学 2018-02-26 Anwar Ul Haq , Hans-Arno Jacobsen

With the help of smart metering valuable information of the appliance usage can be retrieved. In detail, non-intrusive load monitoring (NILM), also called load disaggregation, tries to identify appliances in the power draw of an household.…

其他计算机科学 · 计算机科学 2018-07-03 Dominik Egarter , Wilfried Elmenreich

Electricity consumed by residential consumers counts for a significant part of global electricity consumption and utility companies can collect high-resolution load data thanks to the widely deployed advanced metering infrastructure. There…

人机交互 · 计算机科学 2021-03-11 Hao Wang , Gonzague Henri , Chin-Woo Tan , Ram Rajagopal

Non-intrusive load monitoring (NILM), aims to infer the power profiles of appliances from the aggregated power signal via purely analytical methods. Existing NILM methods are susceptible to various issues such as the noise and transient…

系统与控制 · 电气工程与系统科学 2020-09-08 Elnaz Azizi , Mohammad TH Beheshti , Sadegh Bolouki

Home absence detection is an emerging field on smart home installations. Identifying whether or not the residents of the house are present, is important in numerous scenarios. Possible scenarios include but are not limited to: elderly…

机器学习 · 计算机科学 2022-08-23 Athanasios Lentzas , Dimitris Vrakas

One of the most far-reaching use cases of the internet of things is in smart grid and smart home operation. The smart home concept allows residents to control, monitor, and manage their energy consumption with minimum loss and…

系统与控制 · 电气工程与系统科学 2025-02-11 S. Saba Rafiei , Mahdi S. Naderi , Mehrdad Abedi

Non-Intrusive Load Monitoring (NILM) is the method of detecting an individual device's energy signal from an aggregated energy consumption signature [1]. As existing energy meters provide very little to no information regarding the energy…

机器学习 · 计算机科学 2020-12-23 Mohammad Mahmudur Rahman Khan , Md. Abu Bakr Siddique , Shadman Sakib

Non-intrusive load monitoring (NILM) has been extensively researched over the last decade. The objective of NILM is to identify the power consumption of individual appliances and to detect when particular devices are on or off from…

机器学习 · 计算机科学 2021-09-16 Jordan Holweger , Marina Dorokhova , Lionel Bloch , Christophe Ballif , Nicolas Wyrsch

Millions of smart meters have been deployed worldwide, collecting the total power consumed by individual households. Based on these data, electricity suppliers offer their clients energy monitoring solutions to provide feedback on the…

机器学习 · 计算机科学 2025-06-09 Adrien Petralia , Philippe Charpentier , Youssef Kadhi , Themis Palpanas
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