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 …
Review on deep neural networks applied to low-frequency nilm
P Huber, A Calatroni, A Rumsch, A Paice - Energies, 2021 - mdpi.com
This paper reviews non-intrusive load monitoring (NILM) approaches that employ deep
neural networks to disaggregate appliances from low frequency data, ie, data with sampling …
neural networks to disaggregate appliances from low frequency data, ie, data with sampling …
Transfer learning for non-intrusive load monitoring
M D'Incecco, S Squartini… - IEEE Transactions on …, 2019 - ieeexplore.ieee.org
Non-intrusive load monitoring (NILM) is a technique to recover source appliances from only
the recorded mains in a household. NILM is unidentifiable and thus a challenge problem …
the recorded mains in a household. NILM is unidentifiable and thus a challenge problem …
Electric energy disaggregation via non-intrusive load monitoring: A state-of-the-art systematic review
S Dash, NC Sahoo - Electric Power Systems Research, 2022 - Elsevier
Appliance energy consumption tracking in a building is one of the vital enablers of energy
and cost saving. An economical and viable solution would be to estimate individual …
and cost saving. An economical and viable solution would be to estimate individual …
Non-intrusive load monitoring by using active and reactive power in additive Factorial Hidden Markov Models
Non-intrusive load monitoring (NILM) is the task of determining the appliances individual
contributions to the aggregate power consumption by using a set of electrical parameters …
contributions to the aggregate power consumption by using a set of electrical parameters …
Non-intrusive load monitoring through home energy management systems: A comprehensive review
The enhanced utilization of Appliance Load Monitoring (ALM) in customer sites enabled by
Home Energy Management Systems (HEMS) technologies, offers customized services and …
Home Energy Management Systems (HEMS) technologies, offers customized services and …
On a training-less solution for non-intrusive appliance load monitoring using graph signal processing
With ongoing large-scale smart energy metering deployments worldwide, disaggregation of
a household's total energy consumption down to individual appliances using analytical …
a household's total energy consumption down to individual appliances using analytical …
Denoising autoencoders for non-intrusive load monitoring: improvements and comparative evaluation
Abstract Non-Intrusive Load Monitoring (NILM) is the task of determining the appliances
individual contributions to the aggregate power consumption by using a set of electrical …
individual contributions to the aggregate power consumption by using a set of electrical …
Incorporating appliance usage patterns for non-intrusive load monitoring and load forecasting
This paper proposes a novel non-intrusive load monitoring (NILM) method which
incorporates appliance usage patterns (AUPs) to improve performance of active load …
incorporates appliance usage patterns (AUPs) to improve performance of active load …
Scale-and context-aware convolutional non-intrusive load monitoring
Non-intrusive load monitoring addresses the challenging task of decomposing the
aggregate signal of a household's electricity consumption into appliance-level data without …
aggregate signal of a household's electricity consumption into appliance-level data without …