Non-intrusive load monitoring: A review
PA Schirmer, I Mporas - IEEE Transactions on Smart Grid, 2022 - ieeexplore.ieee.org
The rapid development of technology in the electrical energy sector within the last 20 years
has led to growing electric power needs through the increased number of electrical …
has led to growing electric power needs through the increased number of electrical …
Energy management using non-intrusive load monitoring techniques–State-of-the-art and future research directions
R Gopinath, M Kumar, CPC Joshua… - Sustainable Cities and …, 2020 - Elsevier
In recent years, the development of smart sustainable cities has become the primary focus
among urban planners and policy makers to make responsible use of resources, conserve …
among urban planners and policy makers to make responsible use of resources, conserve …
Toward non-intrusive load monitoring via multi-label classification
Demand-side management technology is a key element of the proposed smart grid, which
will help utilities make more efficient use of their generation assets by reducing consumers' …
will help utilities make more efficient use of their generation assets by reducing consumers' …
Performance evaluation in non‐intrusive load monitoring: datasets, metrics, and tools—A review
Non‐intrusive load monitoring (also known as NILM or energy disaggregation) is the
process of estimating the energy consumption of individual appliances from electric power …
process of estimating the energy consumption of individual appliances from electric power …
Toward load identification based on the Hilbert transform and sequence to sequence long short-term memory
S Heo, H Kim - IEEE Transactions on Smart Grid, 2021 - ieeexplore.ieee.org
Load identification is a core concept in non-intrusive load monitoring (NILM). Through NILM
systems, users can check their home appliance usage habits and then adjust their behavior …
systems, users can check their home appliance usage habits and then adjust their behavior …
Towards reproducible state-of-the-art energy disaggregation
N Batra, R Kukunuri, A Pandey, R Malakar… - Proceedings of the 6th …, 2019 - dl.acm.org
Non-intrusive load monitoring (NILM) or energy disaggregation is the task of separating the
household energy measured at the aggregate level into constituent appliances. In 2014, the …
household energy measured at the aggregate level into constituent appliances. In 2014, the …
LiTell: Robust indoor localization using unmodified light fixtures
Owing to dense deployment of light fixtures and multipath-free propagation, visible light
localization technology holds potential to overcome the reliability issue of radio localization …
localization technology holds potential to overcome the reliability issue of radio localization …
[PDF][PDF] Whited-a worldwide household and industry transient energy data set
In this paper, we introduce a data set of appliance start-up measurements from several
locations. The appliances were recorded with a low-cost custom sound card meter. The …
locations. The appliances were recorded with a low-cost custom sound card meter. The …
Deep dictionary learning
Two popular representation learning paradigms are dictionary learning and deep learning.
While dictionary learning focuses on learning “basis” and “features” by matrix factorization …
While dictionary learning focuses on learning “basis” and “features” by matrix factorization …
A critical review of state-of-the-art non-intrusive load monitoring datasets
HK Iqbal, FH Malik, A Muhammad, MA Qureshi… - Electric Power Systems …, 2021 - Elsevier
Abstract Nowadays Non-Intrusive Load Monitoring (NILM) is considered a hot topic among
researchers. The energy disaggregation datasets are used as the benchmark to validate the …
researchers. The energy disaggregation datasets are used as the benchmark to validate the …