Towards trustworthy energy disaggregation: A review of challenges, methods, and perspectives for non-intrusive load monitoring
Non-intrusive load monitoring (NILM) is the task of disaggregating the total power
consumption into its individual sub-components. Over the years, signal processing and …
consumption into its individual sub-components. Over the years, signal processing and …
An overview of non-intrusive load monitoring: Approaches, business applications, and challenges
Load Monitoring (LM) is a fundamental step to implement effective energy management
schemes. LM includes Intrusive LM (ILM) and Non-Intrusive LM (NILM). Compared with …
schemes. LM includes Intrusive LM (ILM) and Non-Intrusive LM (NILM). Compared with …
A practical solution for non-intrusive type II load monitoring based on deep learning and post-processing
This paper presents a practical and effective non-intrusive load monitoring (NILM) solution to
estimate the energy consumption for common multi-functional home appliances (type II …
estimate the energy consumption for common multi-functional home appliances (type II …
Non-intrusive load monitoring under residential solar power influx
This paper proposes a novel Non-Intrusive Load Monitoring (NILM) method for a consumer
premises with a residentially installed solar plant. This method simultaneously identifies the …
premises with a residentially installed solar plant. This method simultaneously identifies the …
Detecting the novel appliance in non-intrusive load monitoring
Abstract Results from Non-Intrusive Load Monitoring serve for energy decomposition and
load identification, which would facilitate effective energy consumption management …
load identification, which would facilitate effective energy consumption management …
基于电器粗糙归类的无监督NILM 结果自主标注
肖潇， 栾文鹏， 刘博， 王岩， 杨劲男， 刘子帅… - 中国电机工程 …, 2021 - epjournal.csee.org.cn
无监督非侵入式负荷监测(non-intrusive load monitoring, NILM) 方法通常无法自动确定分解
结果所对应的电器名称, 这影响NILM 结果的用户可读性, 阻碍了其规模应用. 为此 …
结果所对应的电器名称, 这影响NILM 结果的用户可读性, 阻碍了其规模应用. 为此 …
Estimation of Cooling Circuits' Temperature in Battery Electric Vehicles Using Karhunen Loeve Expansion and LSTM
MS Padrós, PA Schirmer… - 2022 30th European Signal …, 2022 - ieeexplore.ieee.org
Estimation of vehicle components' temperatures is essential to compute their thermal fatigue
and life expectancy, and is typically based on lumped-parameter models, such as thermal …
and life expectancy, and is typically based on lumped-parameter models, such as thermal …
A Decentralized Control Synthesis Approach for Networked Systems with Arbitrary Interconnections
This paper considers the problem of decentralized analysis and control synthesis to verify
and enforce properties like stability and dissipativity of large-scale networked systems …
and enforce properties like stability and dissipativity of large-scale networked systems …
Reconstruction-based Supervised Contrastive Learning for Unknown Device Identification in Non-intrusive Load Monitoring
Y Han, H Chen, J Wu, Q Zhao - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
Nonintrusive load monitoring (NILM) involves deploying monitoring devices at the
customer's bus entrance to decompose the total power captured into individual operational …
customer's bus entrance to decompose the total power captured into individual operational …
A new graph learning-based signal processing approach for non-intrusive load disaggregation with active power measurements
MY Zhai - Neural Computing and Applications, 2020 - Springer
Recently, there is a potential technology called graph-based signal processing (GSP) that is
being used in many applications. GSP has been used successfully in the domains such as …
being used in many applications. GSP has been used successfully in the domains such as …