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An Experimental Study on Electrical Signature Identification of Non-Intrusive Load Monitoring (NILM) Systems

2011
Electrical load disambiguation for end-use recognition in the residential sector has become an area of study of its own right. Several works have shown that individual loads can be detected (and separated) from sampling of the power at a single point (e.g.
Marisa B. Figueiredo   +2 more
openaire   +1 more source

Non-Intrusive Load Monitoring (NILM): Unsupervised Machine Learning and Feature Fusion : Energy Management for Private and Industrial Applications

2018 International Conference on Smart Grid and Clean Energy Technologies (ICSGCE), 2018
Energy savings are an important building block for the clean energy transition. Studies show that the consideration of overall load profiles is not sufficient to identify significant saving potentials -as is the case with smart meters. Nonintrusive Load Monitoring enables a device specific consumption disaggregation in a cost effective way.
Timo Bernard   +3 more
openaire   +1 more source

MTFed-NILM: Multi-Task Federated Learning for Non-Intrusive Load Monitoring

2022 IEEE Intl Conf on Dependable, Autonomic and Secure Computing, Intl Conf on Pervasive Intelligence and Computing, Intl Conf on Cloud and Big Data Computing, Intl Conf on Cyber Science and Technology Congress (DASC/PiCom/CBDCom/CyberSciTech), 2022
Xiyue Wang, Wei Li
openaire   +1 more source

An Overview of a New Statistical Non-Intrusive Load Monitoring (NILM) Analysis and Recognition Approach for Domestic Environments: DENARDO

2024 IEEE International Workshop on Metrology for Living Environment (MetroLivEnv)
IP devices are ubiquitously spread, for both residential and industrial purposes, thanks to the low integration costs and rapid development cycle of all-IP-based 5G+ technologies. As a consequence, the engineering community now considers their automatization and energy scheduling/management as relevant research fields.
Fazio, Peppino   +4 more
openaire   +3 more sources

SARS-CoV-2 viral load and shedding kinetics

Nature Reviews Microbiology, 2022
Olha Puhach   +2 more
exaly  

NILM-Synth: Synthetic Dataset Generation for Non-Intrusive Load Monitoring Algorithms

2022 IEEE Power & Energy Society Innovative Smart Grid Technologies Conference (ISGT), 2022
openaire   +1 more source

Genetic load: genomic estimates and applications in non-model animals

Nature Reviews Genetics, 2022
Giorgio Bertorelle   +2 more
exaly  

Initial report of decreased SARS-CoV-2 viral load after inoculation with the BNT162b2 vaccine

Nature Medicine, 2021
Matan Levine-Tiefenbrun   +2 more
exaly  

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