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' …
Nonintrusive appliance load monitoring: An overview, laboratory test results and research directions
Nonintrusive appliance load monitoring (NIALM) allows disaggregation of total electricity
consumption into particular appliances in domestic or industrial environments. NIALM …
consumption into particular appliances in domestic or industrial environments. NIALM …
Fednilm: Applying federated learning to nilm applications at the edge
Non-intrusive load monitoring (NILM) helps disaggregate a household's main electricity
consumption to energy usages of individual appliances, greatly cutting down the cost of fine …
consumption to energy usages of individual appliances, greatly cutting down the cost of fine …
Non-intrusive energy disaggregation using non-negative matrix factorization with sum-to-k constraint
A Rahimpour, H Qi, D Fugate… - IEEE Transactions on …, 2017 - ieeexplore.ieee.org
Energy disaggregation or non-intrusive load monitoring addresses the issue of extracting
device-level energy consumption information by monitoring the aggregated signal at one …
device-level energy consumption information by monitoring the aggregated signal at one …
Embedded streaming principal components analysis for network load reduction in structural health monitoring
Principal component analysis (PCA) is a well-established approach commonly used for
dimensionality reduction. However, its computational cost and memory requirements …
dimensionality reduction. However, its computational cost and memory requirements …
A qualitative study on the United States internet of energy: a step towards computational sustainability
The burgeoning growth of Big Data not only matures and improves the data management
efficiency and useful information extraction techniques, but also motivates the computational …
efficiency and useful information extraction techniques, but also motivates the computational …
A multi-head Convolutional Neural Network based non-intrusive load monitoring algorithm under dynamic grid voltage conditions
In recent times, non-intrusive load monitoring (NILM) has emerged as an important tool for
distribution-level energy management systems owing to its potential for energy conservation …
distribution-level energy management systems owing to its potential for energy conservation …
Non-intrusive load monitoring using multi-label classification methods
D Li, S Dick - Electrical Engineering, 2021 - Springer
Non-intrusive load monitoring is a technique to help power companies monitor and analyze
residential energy usage. Aggregated power load measurements for a household (ie, the …
residential energy usage. Aggregated power load measurements for a household (ie, the …
Quantification of disaggregation difficulty with respect to the number of smart meters
A promising approach toward efficient energy management is non-intrusive load monitoring
(NILM), that is to extract the consumption of appliances by analyzing the aggregated …
(NILM), that is to extract the consumption of appliances by analyzing the aggregated …
Adaptive on-line unsupervised appliance modeling for autonomous household database construction
Enabling diagnosis capabilities of Appliance Load Monitoring (ALM) necessitates providing
in-operation information of appliances' behavior. Due to both appliances' time-varying model …
in-operation information of appliances' behavior. Due to both appliances' time-varying model …